851 resultados para Correlation based analysis


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A combined strategy based on the computation of absorption energies, using the ZINDO/S semiempirical method, for a statistically relevant number of thermally sampled configurations extracted from QM/MM trajectories is used to establish a one-to-one correspondence between the structures of the different early intermediates (dark, batho, BSI, lumi) involved in the initial steps of the rhodopsin photoactivation mechanism and their optical spectra. A systematic analysis of the results based on a correlation-based feature selection algorithm shows that the origin of the color shifts among these intermediates can be mainly ascribed to alterations in intrinsic properties of the chromophore structure, which are tuned by several residues located in the protein binding pocket. In addition to the expected electrostatic and dipolar effects caused by the charged residues (Glu113, Glu181) and to strong hydrogen bonding with Glu113, other interactions such as π-stacking with Ala117 and Thr118 backbone atoms, van der Waals contacts with Gly114 and Ala292, and CH/π weak interactions with Tyr268, Ala117, Thr118, and Ser186 side chains are found to make non-negligible contributions to the modulation of the color tuning among the different rhodopsin photointermediates.

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Introduction: The field of Connectomic research is growing rapidly, resulting from methodological advances in structural neuroimaging on many spatial scales. Especially progress in Diffusion MRI data acquisition and processing made available macroscopic structural connectivity maps in vivo through Connectome Mapping Pipelines (Hagmann et al, 2008) into so-called Connectomes (Hagmann 2005, Sporns et al, 2005). They exhibit both spatial and topological information that constrain functional imaging studies and are relevant in their interpretation. The need for a special-purpose software tool for both clinical researchers and neuroscientists to support investigations of such connectome data has grown. Methods: We developed the ConnectomeViewer, a powerful, extensible software tool for visualization and analysis in connectomic research. It uses the novel defined container-like Connectome File Format, specifying networks (GraphML), surfaces (Gifti), volumes (Nifti), track data (TrackVis) and metadata. Usage of Python as programming language allows it to by cross-platform and have access to a multitude of scientific libraries. Results: Using a flexible plugin architecture, it is possible to enhance functionality for specific purposes easily. Following features are already implemented: * Ready usage of libraries, e.g. for complex network analysis (NetworkX) and data plotting (Matplotlib). More brain connectivity measures will be implemented in a future release (Rubinov et al, 2009). * 3D View of networks with node positioning based on corresponding ROI surface patch. Other layouts possible. * Picking functionality to select nodes, select edges, get more node information (ConnectomeWiki), toggle surface representations * Interactive thresholding and modality selection of edge properties using filters * Arbitrary metadata can be stored for networks, thereby allowing e.g. group-based analysis or meta-analysis. * Python Shell for scripting. Application data is exposed and can be modified or used for further post-processing. * Visualization pipelines using filters and modules can be composed with Mayavi (Ramachandran et al, 2008). * Interface to TrackVis to visualize track data. Selected nodes are converted to ROIs for fiber filtering The Connectome Mapping Pipeline (Hagmann et al, 2008) processed 20 healthy subjects into an average Connectome dataset. The Figures show the ConnectomeViewer user interface using this dataset. Connections are shown that occur in all 20 subjects. The dataset is freely available from the homepage (connectomeviewer.org). Conclusions: The ConnectomeViewer is a cross-platform, open-source software tool that provides extensive visualization and analysis capabilities for connectomic research. It has a modular architecture, integrates relevant datatypes and is completely scriptable. Visit www.connectomics.org to get involved as user or developer.

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Morphological transitions are analyzed for a radial multiparticle diffusion-limited aggregation process grown under a convective drift. The introduction of a tangential flow changes the morphology of the diffusion-limited structure, into multiarm structures, inclined opposite to the flow, whose limit consists of single arms, when decreasing density. The case of shear flow is also considered. The anisotropy of the patterns is characterized in terms of a tangential correlation function based analysis. Comparison between the simulation results and preliminary experimental results has been done.

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Urotensin-II controls ion/water homeostasis in fish and vascular tone in rodents. We hypothesised that common genetic variants in urotensin-II pathway genes are associated with human blood pressure or renal function. We performed family-based analysis of association between blood pressure, glomerular filtration and genes of the urotensin-II pathway (urotensin-II, urotensin-II related peptide, urotensin-II receptor) saturated with 28 tagging single nucleotide polymorphisms in 2024 individuals from 520 families; followed by an independent replication in 420 families and 7545 unrelated subjects. The expression studies of the urotensin-II pathway were carried out in 97 human kidneys. Phylogenetic evolutionary analysis was conducted in 17 vertebrate species. One single nucleotide polymorphism (rs531485 in urotensin-II gene) was associated with adjusted estimated glomerular filtration rate in the discovery cohort (p = 0.0005). It showed no association with estimated glomerular filtration rate in the combined replication resource of 8724 subjects from 6 populations. Expression of urotensin-II and its receptor showed strong linear correlation (r = 0.86, p<0.0001). There was no difference in renal expression of urotensin-II system between hypertensive and normotensive subjects. Evolutionary analysis revealed accumulation of mutations in urotensin-II since the divergence of primates and weaker conservation of urotensin-II receptor in primates than in lower vertebrates. Our data suggest that urotensin-II system genes are unlikely to play a major role in genetic control of human blood pressure or renal function. The signatures of evolutionary forces acting on urotensin-II system indicate that it may have evolved towards loss of function since the divergence of primates.

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Amb l’objectiu de conèixer les relacions existents entre la força, el rendiment esportiu i la lesionabilitat en un equip masculí de bàsquet professional, es realitza un estudi prospectiu, observacional i descriptiu d’anàlisis d’estadístiques (71 partits), test de mig esquat (n = 7) i patologia lesional, monitoritzant la temporada 09/10, on es relacionen les dades obtingudes de cada jugador referents al rendiment esportiu per partit (valoració estadística), les mitjanes de força, velocitat i potència de cada mesocicle i la lesionabilitat. La tècnica estadística utilitzada ha estat la correlació a partir del paràmetre rho de Spearman. Aquestes correlacions entre força i lesionabilitat mostren que a valors de força més elevats hi ha més lesions: amb 80 kg són molt significatives per a lesions totals (LT) i potència (rho = 0,898; p = 0,006), i significatives per força (rho = 0,823; p = 0,023) i velocitat (rho = 0,774; p = 0,041); la velocitat amb 90 kg es relaciona amb lesions time loss (TL) (rho = 0,878; p = 0,009), i la potència amb 100 kg, amb lesions totals (LT) (rho = 0,805; p = 0,029) i V100 (rho = 0,898; p = 0,006) molt significativament. I la relació entre força i rendiment és significativament negativa en 5 dels 7 mesocicles, és a dir, a menys força, més rendiment. En conclusió, durant l’execució del mig esquat, hi ha valors de força adients per rendir millor i lesionar-se menys: de 800 N a 1.050 N i amb càrregues de 80 kg a 90 kg.

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Descriptors in multivariate image analysis applied to quantitative structure-activity relationship (MIA-QSAR) are pixels of bidimensional images of chemical structures (drawings), which were used to model the trichomonicidal activities of a series of benzimidazole derivatives. The MIA-QSAR model showed good predictive ability, with r², q² and r val. ext.² of 0.853, 0.519 and 0.778, respectively, which are comparable to the best values obtained by CoMFA e CoMSIA for the same series. A MIA-based analysis was also performed by using images of alphabetic letters with the corresponding numeric ordering as dependent variables, but no correlation was found, supporting that MIA-QSAR is not arbitrary.

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Tässä diplomityössä tutkitaan, miten verkkokaupan kävijävirran käyttäytymistä analysoimalla voidaan tehdä perusteltuja, tarkoituksenmukaisiin nimikkeisiin ja niiden parametreihin kohdistuvia päätöksiä tilanteessa, jossa laajamittaisemmat historiatiedot toteutuneesta myynnistä puuttuvat. Teoriakatsauksen perusteella muodostettiin ratkaisumalli, joka perustuu potentiaalisten kysyntäajurien muodostamiseen ja testaamiseen. Testisarjan perusteella valittavaa ajuria käytetään estimoimaan nimikkeiden kysyntää, jolloin sitä voidaan käyttää toteutuneen myynnin sijasta esimerkiksi Pareto-analyysissä. Näin huomio on mahdollista keskittää rajattuun määrään merkitykseltään suuria nimikkeitä ja niiden yksityiskohtaisiin parametreihin, joilla on merkitystä asiakkaan ostopäätöstilanteissa. Lisäksi voidaan tunnistaa nimikkeitä, joiden ongelmana on joko huono verkkonäkyvyys tai yhteensopimattomuus asiakastarpeiden kanssa. Ajurien testaamisperiaatteena käytetään kertymäfunktioiden yhdenmukaisuustarkastelua, joka rakentuu kolmesta peräkkäisestä vaiheesta; visuaalisesta tarkastelusta, kahden otoksen 2-suuntaisesta Kolmogorov-Smirnov-yhteensopivuustestistä ja Pearsonin korrelaatiotestistä. Mallia ja sen avulla tuotettua kysynnän ajuria testattiin veneilyalan kuluttaja-asiakkaille suunnatussa verkkokaupassa, jossa sillä tunnistettiin Pareto-jakauman alkupäästä runsaasti nimikkeitä, joiden parametreissa oli myynnin kannalta epäedullisia tekijöitä. Jakauman toisessa päässä tunnistettiin satoja nimikkeitä, joiden ongelmana on ilmeisesti joko huono verkkonäkyvyys tai nimikkeiden yhteensopimattomuus asiakastarpeiden kanssa.

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Le cancer de la prostate est le cancer le plus fréquemment diagnostiqué chez les hommes canadiens et la troisième cause de décès relié au cancer. Lorsque diagnostiqué à un stade précoce de la maladie, le cancer de la prostate est traité de manière curative par chirurgie et radiothérapie. Par contre, les thérapies actuelles ne peuvent éradiquer la maladie lorsqu’elle progresse à des stades avancés. Ces thérapies, comme la chimiothérapie et l’hormonothérapie, demeurent donc palliatives. Il est primordial d’optimiser de nouvelles thérapies visant l’élimination des cellules cancéreuses chez les patients atteints des stades avancés de la maladie. Une de ces nouvelles options thérapeutiques est l’immunothérapie. L’immunothérapie du cancer a fait des progrès considérables durant les dernières années. Cependant, les avancements encourageants obtenus lors d’essais précliniques ne se sont pas encore traduits en des résultats cliniques significatifs. En ce qui concerne le cancer de la prostate, les résultats négligeables suivants des interventions immunothérapeutiques peuvent être causés par le fait que la plupart des études sur le microenvironnement immunologique furent effectuées chez des modèles animaux. De plus la majorité des études sur l’immunologie tumorale humaine furent effectuées chez des patients atteints d’autres cancers, tels que le mélanome, et non chez les patients atteints du cancer de la prostate. Donc, le but central de cette thèse de doctorat est d’étudier le microenvironnement immunologique chez les patients atteints du cancer de la prostate afin de mieux définir les impacts de la tumeur sur le développement de la réponse immunitaire antitumorale. Pour réaliser ce projet, nous avons établi deux principaux objectifs de travail : (i) la caractérisation précise des populations des cellules immunitaires infiltrant la tumeur primaire et les ganglions métastatiques chez les patients atteints du cancer de la prostate; (ii) l’identification et l’étude des mécanismes immunosuppressifs exprimés par les cellules cancéreuses de la prostate. Les résultats présentés dans cette thèse démontrent que la progression du cancer de la prostate est associée au développement d’un microenvironnement immunosuppressif qui, en partie, est régulé par la présence des androgènes. L’étude initiale avait comme but la caractérisation du microenvironnement immunologique des ganglions drainant la tumeur chez des patients du cancer de la prostate. Les résultats présentés dans le chapitre III nous a permis de démontrer que les ganglions métastatiques comportent des signes cellulaires et histopathologiques associés à une faible réactivité immunologique. Cette immunosuppression ganglionnaire semble dépendre de la présence des cellules métastatiques puisque des différences immunologiques notables existent entre les ganglions non-métastatiques et métastatiques chez un même patient. La progression du cancer de la prostate semble donc associée au développement d’une immunosuppression affectant les ganglions drainant la tumeur primaire. Par la suite, nous nous sommes intéressés à l’impact de la thérapie par déplétion des androgènes (TDA) sur le microenvironnement immunologique de la tumeur primaire. La TDA est associée à une augmentation marquée de l’inflammation prostatique. De plus, les protocoles d’immunothérapies pour le cancer de la prostate actuellement évalués en phase clinique sont dirigés aux patients hormonoréfractaires ayant subi et échoué la thérapie. Cependant, peu d’information existe sur la nature de l’infiltrat de cellules immunes chez les patients castrés. Il est donc essentiel de connaître la nature de cet infiltrat afin de savoir si celui-ci peut répondre de manière favorable à une intervention immunothérapeutique. Dans le chapitre IV, je présente les résultats sur l’abondance des cellules immunes infiltrant la tumeur primaire suivant la TDA. Chez les patients castrés, les densités de lymphocytes T CD3+ et CD8+ ainsi que des macrophages CD68+ sont plus importantes que chez les patients contrôles. Nous avons également observé une corrélation entre la densité de cellules NK et une diminution du risque de progression de la maladie (rechute biochimique). Inversement, une forte infiltration de macrophages est associée à un plus haut risque de progression. Conjointement, durant cette étude, nous avons développé une nouvelle approche informatisée permettant la standardisation de la quantification de l’infiltrat de cellules immunes dans les échantillons pathologiques. Cette approche facilitera la comparaison d’études indépendantes sur la densité de l’infiltrat immun. Ces résultats nous ont donc permis de confirmer que les effets pro-inflammatoires de la TDA chez les patients du cancer de la prostate ciblaient spécifiquement les lymphocytes T et les macrophages. L’hypothèse intéressante découlant de cette étude est que les androgènes pourraient réguler l’expression de mécanismes immunosuppressifs dans la tumeur primaire. Dans le chapitre V, nous avons donc étudié l’expression de mécanismes immunosuppressifs par les cellules cancéreuses du cancer de la prostate ainsi que leur régulation par les androgènes. Notre analyse démontre que les androgènes augmentent l’expression de molécules à propriétés immunosuppressives telles que l’arginase I et l’arginase II. Cette surexpression dépend de l’activité du récepteur aux androgènes. Chez les patients castrés, l’expression de l’arginase II était diminuée suggérant une régulation androgénique in vivo. Nous avons observé que l’arginase I et l’arginase II participent à la prolifération des cellules du cancer de la prostate ainsi qu’à leur potentiel immunosuppressif. Finalement, nous avons découvert que l’expression de l’interleukin-8 était aussi régulée par les androgènes. De plus, l’interleukin-8, indépendamment des androgènes, augmente l’expression de l’arginase II. Ces résultats confirment que les androgènes participent au développement d’une microenvironnement immunosuppressif dans le cancer de la prostate en régulant l’expression de l’arginase I, l’arginase II et l’interleukin-8. En conclusion, les résultats présentés dans cette thèse témoignent du caractère unique du microenvironnement immunologique chez les patients atteints du cancer de la prostate. Nos travaux ont également permis d’établir de nouvelles techniques basées sur des logiciels d’analyse d’image afin de mieux comprendre le dialogue entre la tumeur et le système immunitaire chez les patients. Approfondir les connaissances sur les mécanismes de régulation du microenvironnement immunologique chez les patients atteint du cancer de la prostate permettra d’optimiser des immunothérapies mieux adaptées à éradiquer cette maladie.

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Information and communication technologies are the tools that underpin the emerging “Knowledge Society”. Exchange of information or knowledge between people and through networks of people has always taken place. But the ICT has radically changed the magnitude of this exchange, and thus factors such as timeliness of information and information dissemination patterns have become more important than ever.Since information and knowledge are so vital for the all round human development, libraries and institutions that manage these resources are indeed invaluable. So, the Library and Information Centres have a key role in the acquisition, processing, preservation and dissemination of information and knowledge. ln the modern context, library is providing service based on different types of documents such as manuscripts, printed, digital, etc. At the same time, acquisition, access, process, service etc. of these resources have become complicated now than ever before. The lCT made instrumental to extend libraries beyond the physical walls of a building and providing assistance in navigating and analyzing tremendous amounts of knowledge with a variety of digital tools. Thus, modern libraries are increasingly being re-defined as places to get unrestricted access to information in many formats and from many sources.The research was conducted in the university libraries in Kerala State, India. lt was identified that even though the information resources are flooding world over and several technologies have emerged to manage the situation for providing effective services to its clientele, most of the university libraries in Kerala were unable to exploit these technologies at maximum level. Though the libraries have automated many of their functions, wide gap prevails between the possible services and provided services. There are many good examples world over in the application of lCTs in libraries for the maximization of services and many such libraries have adopted the principles of reengineering and re-defining as a management strategy. Hence this study was targeted to look into how effectively adopted the modern lCTs in our libraries for maximizing the efficiency of operations and services and whether the principles of re-engineering and- redefining can be applied towards this.Data‘ was collected from library users, viz; student as well as faculty users; library ,professionals and university librarians, using structured questionnaires. This has been .supplemented by-observation of working of the libraries, discussions and interviews with the different types of users and staff, review of literature, etc. Personal observation of the organization set up, management practices, functions, facilities, resources, utilization of information resources and facilities by the users, etc. of the university libraries in Kerala have been made. Statistical techniques like percentage, mean, weighted mean, standard deviation, correlation, trend analysis, etc. have been used to analyse data.All the libraries could exploit only a very few possibilities of modern lCTs and hence they could not achieve effective Universal Bibliographic Control and desired efficiency and effectiveness in services. Because of this, the users as well as professionals are dissatisfied. Functional effectiveness in acquisition, access and process of information resources in various formats, development and maintenance of OPAC and WebOPAC, digital document delivery to remote users, Web based clearing of library counter services and resources, development of full-text databases, digital libraries and institutional repositories, consortia based operations for e-journals and databases, user education and information literacy, professional development with stress on lCTs, network administration and website maintenance, marketing of information, etc. are major areas need special attention to improve the situation. Finance, knowledge level on ICTs among library staff, professional dynamism and leadership, vision and support of the administrators and policy makers, prevailing educational set up and social environment in the state, etc. are some of the major hurdles in reaping the maximum possibilities of lCTs by the university libraries in Kerala. The principles of Business Process Re-engineering are found suitable to effectively apply to re-structure and redefine the operations and service system of the libraries. Most of the conventional departments or divisions prevailing in the university libraries were functioning as watertight compartments and their existing management system was more rigid to adopt the principles of change management. Hence, a thorough re-structuring of the divisions was indicated. Consortia based activities and pooling and sharing of information resources was advocated to meet the varied needs of the users in the main campuses and off campuses of the universities, affiliated colleges and remote stations. A uniform staff policy similar to that prevailing in CSIR, DRDO, ISRO, etc. has been proposed by the study not only in the university libraries in kerala but for the entire country.Restructuring of Lis education,integrated and Planned development of school,college,research and public library systems,etc.were also justified for reaping maximum benefits of the modern ICTs.

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Learning Disability (LD) is a classification including several disorders in which a child has difficulty in learning in a typical manner, usually caused by an unknown factor or factors. LD affects about 15% of children enrolled in schools. The prediction of learning disability is a complicated task since the identification of LD from diverse features or signs is a complicated problem. There is no cure for learning disabilities and they are life-long. The problems of children with specific learning disabilities have been a cause of concern to parents and teachers for some time. The aim of this paper is to develop a new algorithm for imputing missing values and to determine the significance of the missing value imputation method and dimensionality reduction method in the performance of fuzzy and neuro fuzzy classifiers with specific emphasis on prediction of learning disabilities in school age children. In the basic assessment method for prediction of LD, checklists are generally used and the data cases thus collected fully depends on the mood of children and may have also contain redundant as well as missing values. Therefore, in this study, we are proposing a new algorithm, viz. the correlation based new algorithm for imputing the missing values and Principal Component Analysis (PCA) for reducing the irrelevant attributes. After the study, it is found that, the preprocessing methods applied by us improves the quality of data and thereby increases the accuracy of the classifiers. The system is implemented in Math works Software Mat Lab 7.10. The results obtained from this study have illustrated that the developed missing value imputation method is very good contribution in prediction system and is capable of improving the performance of a classifier.

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Integration of inputs by cortical neurons provides the basis for the complex information processing performed in the cerebral cortex. Here, we propose a new analytic framework for understanding integration within cortical neuronal receptive fields. Based on the synaptic organization of cortex, we argue that neuronal integration is a systems--level process better studied in terms of local cortical circuitry than at the level of single neurons, and we present a method for constructing self-contained modules which capture (nonlinear) local circuit interactions. In this framework, receptive field elements naturally have dual (rather than the traditional unitary influence since they drive both excitatory and inhibitory cortical neurons. This vector-based analysis, in contrast to scalarsapproaches, greatly simplifies integration by permitting linear summation of inputs from both "classical" and "extraclassical" receptive field regions. We illustrate this by explaining two complex visual cortical phenomena, which are incompatible with scalar notions of neuronal integration.

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One of the primary goals of the Center for Integrated Space Weather Modeling (CISM) effort is to assess and improve prediction of the solar wind conditions in near‐Earth space, arising from both quasi‐steady and transient structures. We compare 8 years of L1 in situ observations to predictions of the solar wind speed made by the Wang‐Sheeley‐Arge (WSA) empirical model. The mean‐square error (MSE) between the observed and model predictions is used to reach a number of useful conclusions: there is no systematic lag in the WSA predictions, the MSE is found to be highest at solar minimum and lowest during the rise to solar maximum, and the optimal lead time for 1 AU solar wind speed predictions is found to be 3 days. However, MSE is shown to frequently be an inadequate “figure of merit” for assessing solar wind speed predictions. A complementary, event‐based analysis technique is developed in which high‐speed enhancements (HSEs) are systematically selected and associated from observed and model time series. WSA model is validated using comparisons of the number of hit, missed, and false HSEs, along with the timing and speed magnitude errors between the forecasted and observed events. Morphological differences between the different HSE populations are investigated to aid interpretation of the results and improvements to the model. Finally, by defining discrete events in the time series, model predictions from above and below the ecliptic plane can be used to estimate an uncertainty in the predicted HSE arrival times.

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We introduce a procedure for association based analysis of nuclear families that allows for dichotomous and more general measurements of phenotype and inclusion of covariate information. Standard generalized linear models are used to relate phenotype and its predictors. Our test procedure, based on the likelihood ratio, unifies the estimation of all parameters through the likelihood itself and yields maximum likelihood estimates of the genetic relative risk and interaction parameters. Our method has advantages in modelling the covariate and gene-covariate interaction terms over recently proposed conditional score tests that include covariate information via a two-stage modelling approach. We apply our method in a study of human systemic lupus erythematosus and the C-reactive protein that includes sex as a covariate.

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Two different ways of performing low-energy electron diffraction (LEED) structure determinations for the p(2 x 2) structure of oxygen on Ni {111} are compared: a conventional LEED-IV structure analysis using integer and fractional-order IV-curves collected at normal incidence and an analysis using only integer-order IV-curves collected at three different angles of incidence. A clear discrimination between different adsorption sites can be achieved by the latter approach as well as the first and the best fit structures of both analyses are within each other's error bars (all less than 0.1 angstrom). The conventional analysis is more sensitive to the adsorbate coordinates and lateral parameters of the substrate atoms whereas the integer-order-based analysis is more sensitive to the vertical coordinates of substrate atoms. Adsorbate-related contributions to the intensities of integer-order diffraction spots are independent of the state of long-range order in the adsorbate layer. These results show, therefore, that for lattice-gas disordered adsorbate layers, for which only integer-order spots are observed, similar accuracy and reliability can be achieved as for ordered adsorbate layers, provided the data set is large enough.

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Peak picking is an early key step in MS data analysis. We compare three commonly used approaches to peak picking and discuss their merits by means of statistical analysis. Methods investigated encompass signal-to-noise ratio, continuous wavelet transform, and a correlation-based approach using a Gaussian template. Functionality of the three methods is illustrated and discussed in a practical context using a mass spectral data set created with MALDI-TOF technology. Sensitivity and specificity are investigated using a manually defined reference set of peaks. As an additional criterion, the robustness of the three methods is assessed by a perturbation analysis and illustrated using ROC curves.