928 resultados para varactor tuning


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* The 'in planta' visualization of F-actin in all cells and in all developmental stages of a plant is a challenging problem. By using the soybean heat inducible Gmhsp17.3B promoter instead of a constitutive promoter, we have been able to label all cells in various developmental stages of the moss Physcomitrella patens, through a precise temperature tuning of the expression of green fluorescent protein (GFP)-talin. * A short moderate heat treatment was sufficient to induce proper labeling of the actin cytoskeleton and to allow the visualization of time-dependent organization of F-actin structures without impairment of cell viability. * In growing moss cells, dense converging arrays of F-actin structures were present at the growing tips of protonema cell, and at the localization of branching. Protonema and leaf cells contained a network of thick actin cables; during de-differentiation of leaf cells into new protonema filaments, the thick bundled actin network disappeared, and a new highly polarized F-actin network formed. * The controlled expression of GFP-talin through an inducible promoter improves significantly the 'in planta' imaging of actin.

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In neurons, the regulation of microtubules plays an important role for neurite outgrowth, axonal elongation, and growth cone steering. SCG10 family proteins are the only known neuronal proteins that have a strong destabilizing effect, are highly enriched in growth cones and are thought to play an important role during axonal elongation. MAP1B, a microtubule-stabilizing protein, is found in growth cones as well, therefore it was important to test their effect on microtubules in the presence of both proteins. We used recombinant proteins in microtubule assembly assays and in transfected COS-7 cells to analyze their combined effects in vitro and in living cells, respectively. Individually, both proteins showed their expected activities in microtubule stabilization and destruction respectively. In MAP1B/SCG10 double-transfected cells, MAP1B could not protect microtubules from SCG10-induced disassembly in most cells, in particular not in cells that contained high levels of SCG10. This suggests that SCG10 is more potent to destabilize microtubules than MAP1B to rescue them. In microtubule assembly assays, MAP1B promoted microtubule formation at a ratio of 1 MAP1B per 70 tubulin dimers while a ratio of 1 SCG10 per two tubulin dimers was needed to destroy microtubules. In addition to its known binding to tubulin dimers, SCG10 binds also to purified microtubules in growth cones of dorsal root ganglion neurons in culture. In conclusion, neuronal microtubules are regulated by antagonistic effects of MAP1B and SCG10 and a fine tuning of the balance of these proteins may be critical for the regulation of microtubule dynamics in growth cones.

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Peroxisome proliferator-activated receptor gamma (PPARgamma) is an essential regulator of adipocyte differentiation, maintenance, and survival. Deregulations of its functions are associated with metabolic diseases. We show here that deletion of one PPARgamma allele not only affected lipid storage but, more surprisingly, also the expression of genes involved in glucose uptake and utilization, the pentose phosphate pathway, fatty acid synthesis, lipolysis, and glycerol export as well as in IR/IGF-1 signaling. These deregulations led to reduced circulating adiponectin levels and an energy crisis in the WAT, reflected in a decrease to nearly half of its intracellular ATP content. In addition, there was a decrease in the metabolic rate and physical activity of the PPARgamma(+/-) mice, which was abolished by thiazolidinedione treatment, thereby linking regulation of the metabolic rate and physical activity to PPARgamma. It is likely that the PPARgamma(+/-) phenotype was due to the observed WAT dysfunction, since the gene expression profiles associated with metabolic pathways were not affected either in the liver or the skeletal muscle. These findings highlight novel roles of PPARgamma in the adipose tissue and underscore the multifaceted action of this receptor in the functional fine tuning of a tissue that is crucial for maintaining the organism in good health.

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Retroposed genes (retrogenes) originate via the reverse transcription of mature messenger RNAs from parental source genes and are therefore usually devoid of introns. Here, we characterize a particular set of mammalian retrogenes that acquired introns upon their emergence and thus represent rare cases of intron gain in mammals. We find that although a few retrogenes evolved introns in their coding or 3' untranslated regions (untranslated region, UTR), most introns originated together with untranslated exons in the 5' flanking regions of the retrogene insertion site. They emerged either de novo or through fusions with 5' UTR exons of host genes into which the retrogenes inserted. Generally, retrogenes with introns display high transcription levels and show broader spatial expression patterns than other retrogenes. Our experimental expression analyses of individual intron-containing retrogenes show that 5' UTR introns may indeed promote higher expression levels, at least in part through encoded regulatory elements. By contrast, 3' UTR introns may lead to downregulation of expression levels via nonsense-mediated decay mechanisms. Notably, the majority of retrogenes with introns in their 5' flanks depend on distant, sometimes bidirectional CpG dinucleotide-enriched promoters for their expression that may be recruited from other genes in the genomic vicinity. We thus propose a scenario where the acquisition of new 5' exon-intron structures was directly linked to the recruitment of distant promoters by these retrogenes, a process potentially facilitated by the presence of proto-splice sites in the genomic vicinity of retrogene insertion sites. Thus, the primary role and selective benefit of new 5' introns (and UTR exons) was probably initially to span the often substantial distances to potent CpG promoters driving retrogene transcription. Later in evolution, these introns then obtained additional regulatory roles in fine tuning retrogene expression levels. Our study provides novel insights regarding mechanisms underlying the origin of new introns, the evolutionary relevance of intron gain, and the origin of new gene promoters.

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MicroRNAs are important regulators of gene expression. The vast majority of the cells in our body rely on hundreds of these tiny non-coding RNA molecules to precisely adjust their protein repertoire and faithfully accomplish their tasks. Indeed, alterations in the microRNA profile can lead to cellular dysfunction that favours the appearance of several diseases. A specific set of microRNAs plays a crucial role in pancreatic beta cell differentiation and is essential for the fine-tuning of insulin secretion and for compensatory beta cell mass expansion in response to insulin resistance. Recently, several independent studies reported alterations in microRNA levels in the islets of animal models of diabetes and in islets isolated from diabetic patients. Surprisingly, many of the changes in microRNA expression observed in animal models of diabetes were not detected in the islets of diabetic patients and vice versa. These findings are unlikely to merely reflect species differences because microRNAs are highly conserved in mammals. These puzzling results are most probably explained by fundamental differences in the experimental approaches which selectively highlight the microRNAs directly contributing to diabetes development, the microRNAs predisposing individuals to the disease or the microRNAs displaying expression changes subsequent to the development of diabetes. In this review we will highlight the suitability of the different models for addressing each of these questions and propose future strategies that should allow us to obtain a better understanding of the contribution of microRNAs to the development of diabetes mellitus in humans.

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From a managerial point of view, the more effcient, simple, and parameter-free (ESP) an algorithm is, the more likely it will be used in practice for solving real-life problems. Following this principle, an ESP algorithm for solving the Permutation Flowshop Sequencing Problem (PFSP) is proposed in this article. Using an Iterated Local Search (ILS) framework, the so-called ILS-ESP algorithm is able to compete in performance with other well-known ILS-based approaches, which are considered among the most effcient algorithms for the PFSP. However, while other similar approaches still employ several parameters that can affect their performance if not properly chosen, our algorithm does not require any particular fine-tuning process since it uses basic "common sense" rules for the local search, perturbation, and acceptance criterion stages of the ILS metaheuristic. Our approach defines a new operator for the ILS perturbation process, a new acceptance criterion based on extremely simple and transparent rules, and a biased randomization process of the initial solution to randomly generate different alternative initial solutions of similar quality -which is attained by applying a biased randomization to a classical PFSP heuristic. This diversification of the initial solution aims at avoiding poorly designed starting points and, thus, allows the methodology to take advantage of current trends in parallel and distributed computing. A set of extensive tests, based on literature benchmarks, has been carried out in order to validate our algorithm and compare it against other approaches. These tests show that our parameter-free algorithm is able to compete with state-of-the-art metaheuristics for the PFSP. Also, the experiments show that, when using parallel computing, it is possible to improve the top ILS-based metaheuristic by just incorporating to it our biased randomization process with a high-quality pseudo-random number generator.

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Business organisations are excellent representations of what in physics and mathematics are designated "chaotic" systems. Because a culture of innovation will be vital for organisational survival in the 21st century, the present paper proposes that viewing organisations in terms of "complexity theory" may assist leaders in fine-tuning managerial philosophies that provide orderly management emphasizing stability within a culture of organised chaos, for it is on the "boundary of chaos" that the greatest creativity occurs. It is argued that 21st century companies, as chaotic social systems, will no longer be effectively managed by rigid objectives (MBO) nor by instructions (MBI). Their capacity for self-organisation will be derived essentially from how their members accept a shared set of values or principles for action (MBV). Complexity theory deals with systems that show complex structures in time or space, often hiding simple deterministic rules. This theory holds that once these rules are found, it is possible to make effective predictions and even to control the apparent complexity. The state of chaos that self-organises, thanks to the appearance of the "strange attractor", is the ideal basis for creativity and innovation in the company. In this self-organised state of chaos, members are not confined to narrow roles, and gradually develop their capacity for differentiation and relationships, growing continuously toward their maximum potential contribution to the efficiency of the organisation. In this way, values act as organisers or "attractors" of disorder, which in the theory of chaos are equations represented by unusually regular geometric configurations that predict the long-term behaviour of complex systems. In business organisations (as in all kinds of social systems) the starting principles end up as the final principles in the long term. An attractor is a model representation of the behavioral results of a system. The attractor is not a force of attraction or a goal-oriented presence in the system; it simply depicts where the system is headed based on its rules of motion. Thus, in a culture that cultivates or shares values of autonomy, responsibility, independence, innovation, creativity, and proaction, the risk of short-term chaos is mitigated by an overall long-term sense of direction. A more suitable approach to manage the internal and external complexities that organisations are currently confronting is to alter their dominant culture under the principles of MBV.

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RESUME L'homéostasie du tissu cutané est assurée par des interactions étroites entre les cellules le composant et par l'équilibre entre la différenciation et la prolifération des kératinocytes devant permettre un renouvellement constant du tissu. Après une blessure, les kératinocytes environnant la zone blessée sont activés par des cytokines. Ils acquièrent alors un phénotype migratoire qui s'accompagne d'une modulation de l'activité protéolytique de la matrice extra cellulaire, d'une modulation de la dynamique du cytosquelette d'active, de la polarisation de la cellule, de l'affaiblissement des contacts entre cellules et de changements dans leurs contacts avec la matrice extra cellulaire. PPARβ est un facteur de transcription activé par les acides gras et leurs dérivés. Il appartient à la famille des récepteurs nucléaires aux hormones et son expression est avérée dans les kératinocytes des follicules pileux et dans les kératinocytes inter-folliculaires activés par la blessure cutanée. Le rôle de PPARβ dans la peau est principalement lié à son effet protecteur contre l'apoptose ainsi qu'à son implication dans l'équilibre dynamique entre la prolifération et la différentiation des kératinocytes. L'objet de ce travail fut de déterminer le rôle de PPARβ dans les processus d'adhésion et de migration des kératinocytes activés durant la régénération de l'épithélium blessé. Nous avons montré que les souris dépourvues du gène codant pour PPARβ ont de sévères imperfections affectant la morphologie de l'épithélium. Ce phénotype est corrélé à la modulation imparfaite du réseau d'active chez les souris dépourvues de PPARβ, à un défaut de localisation de l'intégrine α3 impliquée dans les complexes induisant la migration cellulaire, ainsi qu'à la modulation de l'expression d'acteurs majeurs affectant l'activité protéolytique de la matrice extra cellulaire. En conclusion, nos résultats montrent que PPARβ est impliqué dans le contrôle de la dynamique du cytosquelette d'active et la polarisation des kératinocytes activés. PPARβ étant impliqué dans l'acquisition d'un phénotype migratoire, il est légitime de se demander s'il intervient de même dans d'autres types cellulaires, par exemple dans la transition épithéliale-mésenchymateuse durant le développement, ou encore la progression de cellules tumorales. SUMMARY Highly coordinated intercellular interactions and single cell metabolism ensure cell and tissue maintenance of the skin. Healing of a skin wound involves keratinocyte activation by cytokines and growth factors. Activated keratinocytes acquire a motile phenotype that requires extracellular matrix remodeling and subsequent ligand activation through proteolytic activity, as well as cytoskeletal reorganisation induced by the release of cell-cell junctions and by the signalling relayed via integrin receptors and their cytoplasmic adaptors. PPARβ is a transcription factor activated by polyunsaturated fatty acids and fatty acid derivatives which belong to the nuclear hormone receptor superfamily. It is expressed in activated keratinocytes where it plays an essential role in protecting them from apoptosis. In addition, it plays an important function in hair follicle morphogenesis at the time of elongation, via the regulation of the balance between keratinocyte differentiation and proliferation. The aim of the present work was to determine if PPARβ is also involved in the regulation of migration and adhesion properties of keratinocytes during skin wound healing. We have shown that wounded PPARβ null mice display severe abnormalities of the keratinocyte migratory layer as shown at the histological level and using three-dimensional reconstruction. This altered migratory phenotype is correlated to altered dynamic of the actin cytoskeleton network, impaired α3 integrin localisation in migrating keratinocytes and changes in the expression of a key actor involved in extracellular matrix proteolytic activity. These results show that PPARβ is implicated in the fine tuning of the actin network organisation and the polarisation of activated keratinocytes following an epithelial wound. Whether these mechanisms are also controlled by PPARβ in other cell types during epithelial mesenchymal transition or tumour cell progression is an interesting question to rise.

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Business organisations are excellent representations of what in physics and mathematics are designated "chaotic" systems. Because a culture of innovation will be vital for organisational survival in the 21st century, the present paper proposes that viewing organisations in terms of "complexity theory" may assist leaders in fine-tuning managerial philosophies that provide orderly management emphasizing stability within a culture of organised chaos, for it is on the "boundary of chaos" that the greatest creativity occurs. It is argued that 21st century companies, as chaotic social systems, will no longer be effectively managed by rigid objectives (MBO) nor by instructions (MBI). Their capacity for self-organisation will be derived essentially from how their members accept a shared set of values or principles for action (MBV). Complexity theory deals with systems that show complex structures in time or space, often hiding simple deterministic rules. This theory holds that once these rules are found, it is possible to make effective predictions and even to control the apparent complexity. The state of chaos that self-organises, thanks to the appearance of the "strange attractor", is the ideal basis for creativity and innovation in the company. In this self-organised state of chaos, members are not confined to narrow roles, and gradually develop their capacity for differentiation and relationships, growing continuously toward their maximum potential contribution to the efficiency of the organisation. In this way, values act as organisers or "attractors" of disorder, which in the theory of chaos are equations represented by unusually regular geometric configurations that predict the long-term behaviour of complex systems. In business organisations (as in all kinds of social systems) the starting principles end up as the final principles in the long term. An attractor is a model representation of the behavioral results of a system. The attractor is not a force of attraction or a goal-oriented presence in the system; it simply depicts where the system is headed based on its rules of motion. Thus, in a culture that cultivates or shares values of autonomy, responsibility, independence, innovation, creativity, and proaction, the risk of short-term chaos is mitigated by an overall long-term sense of direction. A more suitable approach to manage the internal and external complexities that organisations are currently confronting is to alter their dominant culture under the principles of MBV.

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Staphylococcus aureus is a highly successful pathogen responsible of a wide variety of diseases, from minor skin infection to life-threatening sepsis or infective endocarditis, as well as food poisoning and toxic shock syndrome. This heterogeneity of infections and the ability of S. aureus to develop antibiotic-resistance to virtually any available drugs reflect its extraordinary capacity to adapt and survive in a great variety of environments. The pathogenesis of S. aureus infection involves a wide range of cell wall-associated adhesins and extracellular toxins that promote host colonization and invasion. In addition, S. aureus is extremely well equipped with regulatory systems that sense environmental conditions and respond by fine tuning the expression of metabolic and virulence determinants. Surface adhesins referred to MSCRAMMs - for Microbial Surface Component Recognizing Adherence Matrix Molecules - mediate binding to the host extracellular matrix or serum components, including fibrinogen, fibronectin, collagen and elastin, and promote tissue colonization and invasion. Major MSCRAMMs include a family of surface-attached proteins covalently bound to the cell wall peptidoglycan via a conserved LPXTG motif. Genomic analyses indicate that S. aureus contain up to 22 LPXTG surface proteins, which could potentially act individually or in synergy to promote infection. In the first part of this study we determined the range of adherence phenotypes to fibrinogen and fibronectin among 30 carriage isolates of S. aureus and compared it to the adherence phenotypes of 30 infective endocarditis and 30 blood culture isolates. Overall there were great variations in in vitro adherence, but no differences were observed between carriage and infection strains. We further determined the relation between in vitro adherence and in vivo infectivity in a rat model of experimental endocarditis, using 4 isolates that displayed either extremely low or high adherence phenotypes. Unexpectedly, no differences were observed between the in vivo infectivity of isolates that were poorly and highly adherent in vitro. We concluded that the natural variability of in vitro adherence to fibrinogen and fibronectin did not correlate with in vivo infectivity, and thus that pathogenic differences between various strains might only be expressed in in vivo conditions, but not in vitro. Therefore, considering the importance of adhesins expression for infection, direct measurement of those adhesins present on the bacterial surface were made by proteomic approach. 5 In the second series of experiments we assessed the physical presence of the LPXTG species at the staphylococcal surface, as measured at various time points during growth in different culture media. S. aureus Newman was grown in either tryptic soy broth (TSB) or in Roswell Park Memorial Institute (RPMI) culture medium, and samples were removed from early exponential growth phase to late stationary phase. Experiments were performed with mutants in the global accessory-gene regulator (agr), surface protein A (Spa) and clumping factor A (ClfA). Peptides of surface proteins were recovered by "trypsin-shaving" of live bacteria, and semi-quantitative proteomic analysis was performed by tandem liquid-chromatography and mass-spectrometry (LC-MS). We also determined in parallel the mRNA expression by microarrays analysis, as well as the phenotypic adherence of the bacteria to fibrinogen in vitro. The surface proteome was highly complex and contained numerous proteins theoretically not belonging to the bacterial envelope, including ribosomal proteins and metabolic enzymes. Sixteen of the 21 known LPXTG species were detected, but were differentially expressed. As expected, 9 known agr-regulated proteins (e.g. including Spa, FnBPA, ClfA, IsdA, IsdB, SasH, SasD, SasG and FmtB) increased up to the late exponential growth phase, and were abrogated in agr-negative mutants. However, only Spa and SasH modified their proteomic and mRNA profiles in parallel in the parent and its agr negative mutant, while all other LPXTG proteins modified their proteomic profiles independently of their mRNA. Moreover, ClfA became highly transcribed and active in in vitro fibrinogen adherence tests during late growth (24h), whereas it remained poorly detected by proteomics. Differential expression was also detected in iron-rich TSB versus iron-poor RPMI. Proteins from the iron-regulated surface determinant (isd) system, including IsdA, IsdB and IsdH were barely expressed in iron-rich TSB, whereas they increased their expression by >10 time in iron-poor RPMI. We conclude that semi-quantitative proteomic analysis of specific protein species is feasible in S. aureus and that proteomic, transcriptomic and adherence phenotypes demonstrated differential profiles in S. aureus. Furthermore, peptide signatures released by trypsin shaving suggested differential protein domain exposures in various environments, which might be relevant for antiadhesins vaccines. A comprehensive understanding of the S. aureus physiology should integrate all these approaches.

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In many Gram-negative bacteria, the GacS/GacA two-component system positively controls the expression of extracellular products or storage compounds. In the plant-beneficial rhizosphere bacterium Pseudomonas fluorescens CHA0, the GacS/GacA system is essential for the production of antibiotic compounds and hence for biological control of root-pathogenic fungi. The small (119-nt) RNA RsmX discovered in this study, together with RsmY and RsmZ, forms a triad of GacA-dependent small RNAs, which sequester the RNA-binding proteins RsmA and RsmE and thereby antagonize translational repression exerted by these proteins in strain CHA0. This small RNA triad was found to be both necessary and sufficient for posttranscriptional derepression of biocontrol factors and for protection of cucumber from Pythium ultimum. The same three small RNAs also positively regulated swarming motility and the synthesis of a quorum-sensing signal, which is unrelated to N-acyl-homoserine lactones, and which autoinduces the Gac/Rsm cascade. Expression of RsmX and RsmY increased in parallel throughout cell growth, whereas RsmZ was produced during the late growth phase. This differential expression is assumed to facilitate fine tuning of GacS/A-controlled cell population density-dependent regulation in P. fluorescens.

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The main information sources to study a particular piece of music are symbolic scores and audio recordings. These are complementary representations of the piece and it isvery useful to have a proper linking between the two of the musically meaningful events. For the case of makam music of Turkey, linking the available scores with the correspondingaudio recordings requires taking the specificities of this music into account, such as the particular tunings, the extensive usage of non-notated expressive elements, and the way in which the performer repeats fragmentsof the score. Moreover, for most of the pieces of the classical repertoire, there is no score written by the original composer. In this paper, we propose a methodology to pair sections of a score to the corresponding fragments of audio recording performances. The pitch information obtained from both sources is used as the common representationto be paired. From an audio recording, fundamental frequency estimation and tuning analysis is done to compute a pitch contour. From the corresponding score, symbolic note names and durations are converted to a syntheticpitch contour. Then, a linking operation is performed between these pitch contours in order to find the best correspondences.The method is tested on a dataset of 11 compositions spanning 44 audio recordings, which are mostly monophonic. An F3-score of 82% and 89% are obtained with automatic and semi-automatic karar detection respectively,showing that the methodology may give us a needed tool for further computational tasks such as form analysis, audio-score alignment and makam recognition.

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Abstract: Protective immune responses against pathogen invasion and transformed cells requires the coordinated action of distinct leukocyte subsets and soluble factors, overall termed immunological network. Among antigen-presenting cells (APC), a crucial role is played by dendritic cells (DC), which initiate, amplify and determine the outcome of the immune response. Micro-environmental conditions profoundly influence DC in such ways that the resulting immune response ranges from successful immune stimulation to abortive response or immune suppression. For instance, the presence in the milieu of anti-inflammatory cytokine interleukin-10 (IL-10) reverts most of the effects mediated on DC by even strong pro-inflammatory agents such as bacterial Lipopolysaccharide (LPS), in terms of differentiation, activation and functions. In an environment containing both LPS and IL-10, uncoupling of receptors for inflammatory chemokines already occurs after a few hours and in a reversible manner on DC, allowing scavenging of chemokines and, consequently, attenuation of the inflammatory process which could be deleterious to the organism. By studying the effects on DC of concomitant stimulation by LPS and IL-10 from the gene expression point of view, we were able to define four distinct transcriptional programs: A. the inhibition of inflammation and immunity, B. the regulation of tissue remodeling, C. the tuning of cytokine/growth factor receptors and G protein-coupled receptors, D. the stimulation of B cell function and lymphoid tissue neogenesis. Among the latter genes, we further demonstrated that IL-10 synergizes with Toll-like receptor ligands for the production of functionally active B cell attracting chemokine CXCL13. Our data provide evidence that the combined exposure of APC to LPS and IL-10, via the production of CXCL13, involves humoral immunity by attracting antibody-producing cells. It is well known that the persistent release of CXCL13 leads to the development of ectopic lymphoid tissue aggregates and production of high levels of antibodies, thus favoring the induction of auto-immunity. Our findings suggest that the IL-10 produced in chronic inflammatory conditions may promote lymphoid tissue neogenesis through increased release of CXCL13. IL-10 is an anti-inflammatory cytokine inhibiting cellular-mediated TH 1-polarized immune responses. In this study we demonstrate that IL- 10 strongly supports the development of humoral immunity. IL-10 and CXCL13 can thus be targets for specific therapies in auto-immune diseases.

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BACKGROUND: With the large amount of biological data that is currently publicly available, many investigators combine multiple data sets to increase the sample size and potentially also the power of their analyses. However, technical differences ("batch effects") as well as differences in sample composition between the data sets may significantly affect the ability to draw generalizable conclusions from such studies. FOCUS: The current study focuses on the construction of classifiers, and the use of cross-validation to estimate their performance. In particular, we investigate the impact of batch effects and differences in sample composition between batches on the accuracy of the classification performance estimate obtained via cross-validation. The focus on estimation bias is a main difference compared to previous studies, which have mostly focused on the predictive performance and how it relates to the presence of batch effects. DATA: We work on simulated data sets. To have realistic intensity distributions, we use real gene expression data as the basis for our simulation. Random samples from this expression matrix are selected and assigned to group 1 (e.g., 'control') or group 2 (e.g., 'treated'). We introduce batch effects and select some features to be differentially expressed between the two groups. We consider several scenarios for our study, most importantly different levels of confounding between groups and batch effects. METHODS: We focus on well-known classifiers: logistic regression, Support Vector Machines (SVM), k-nearest neighbors (kNN) and Random Forests (RF). Feature selection is performed with the Wilcoxon test or the lasso. Parameter tuning and feature selection, as well as the estimation of the prediction performance of each classifier, is performed within a nested cross-validation scheme. The estimated classification performance is then compared to what is obtained when applying the classifier to independent data.

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Desarrollada dentro de la empresa fabricante de herramientas de corte Myfhe, S.A., esta aplicación web multilingüe cataloga el amplio programa de productos de este exportador mundial. Se presentan también una interfaz asistida (para usuarios noveles) así como otra interfaz manual (para usuarios expertos) que permiten generar el desglose de productos, el plano acotado de estos mismos ensamblados y otra información técnica una vez el usuario completa un sencillo cuestionario. De esta manera, se consigue automatizar – mejorando en tiempo y en calidad – una tarea que es imprescindible realizar siempre que se compran los productos de esta empresa y antes de la puesta en marcha de estos en el taller.