Imputation in data fusion of heterogeneous data sets a model-based numerical experiment

Given the very large amount of data obtained everyday through population surveys, much of the new research again could use this information instead of collecting new samples. Unfortunately, relevant data are often disseminated into different files obtained through different sampling designs. Data fusion is a set of methods used to combine information from different sources into a single dataset. In this article, we are interested in a specific problem: the fusion of two data files, one of which being quite small. We propose a model-based procedure combining a logistic regression with an Expectation-Maximization algorithm. Results show that despite the lack of data, this procedure can perform better than standard matching procedures.

Introduction aux réseaux neuronaux : de la synapse à la psyché

TABLE DES MATIERES - Préface - Avant-propos - Architecture des réseaux neuronaux - Développement des réseaux neuronaux du système nerveux central - Microcircuits, plasticité et computation - Réseaux neuronaux en fonctionnement - Vulnérabilité des réseaux neuronaux biologiques et artificiels - Conclusion générale - Glossaire - Bibliographie - Index des notions - Index des noms

Questioni di pulizia: rappresentazioni e valori

In the framework of social representation, this research explores how the concept of cleanness does not refer solely to individual hygienic praxes and thoughts, but it is also linked to social and cultural aspects. In this way, the definitions of what is dirty and what is clean, what is pure and what is impure, are linked to social discrimination attitudes, based for example on the fear for contamination. Our general hypothesis is that the representations of dirt/cleanness and purity/impurity define ideas and praxes linked to personal hygiene, but refer also to the way people interact with the world and the others. Hence, we hypothesize that the representations of dirt/cleanness and purity/impurity are linked to values and political and religious orientations. A questionnaire with closed-answer questions and a free association task were distributed to 450 subjects. Results show how, in effects, the concepts of dirt/cleanness, purity/ impurity skip from their daily praxis connotations and assume a symbolic function for discriminating between individuals and social groups.

Can we continue to neglect genomic variation in introgression rates when inferring the history of speciation? A case study in a Mytilus hybrid zone.

The use of molecular data to reconstruct the history of divergence and gene flow between populations of closely related taxa represents a challenging problem. It has been proposed that the long-standing debate about the geography of speciation can be resolved by comparing the likelihoods of a model of isolation with migration and a model of secondary contact. However, data are commonly only fit to a model of isolation with migration and rarely tested against the secondary contact alternative. Furthermore, most demographic inference methods have neglected variation in introgression rates and assume that the gene flow parameter (Nm) is similar among loci. Here, we show that neglecting this source of variation can give misleading results. We analysed DNA sequences sampled from populations of the marine mussels, Mytilus edulis and M. galloprovincialis, across a well-studied mosaic hybrid zone in Europe and evaluated various scenarios of speciation, with or without variation in introgression rates, using an Approximate Bayesian Computation (ABC) approach. Models with heterogeneous gene flow across loci always outperformed models assuming equal migration rates irrespective of the history of gene flow being considered. By incorporating this heterogeneity, the best-supported scenario was a long period of allopatric isolation during the first three-quarters of the time since divergence followed by secondary contact and introgression during the last quarter. By contrast, constraining migration to be homogeneous failed to discriminate among any of the different models of gene flow tested. Our simulations thus provide statistical support for the secondary contact scenario in the European Mytilus hybrid zone that the standard coalescent approach failed to confirm. Our results demonstrate that genomic variation in introgression rates can have profound impacts on the biological conclusions drawn from inference methods and needs to be incorporated in future studies.

'Se dire similaire et différent': la (re)présentation de soi et la négociation discursive des références identitaires des ressortissants ex-yougoslaves musulmans au Luxembourg

Cette thèse, qui se base sur des entretiens qualitatifs, porte sur la négociation des références identitaires de musulmans immigrés et réfugiés en provenance de Γ ex-Yougoslavie au Luxembourg et s'intéresse à la pertinence changeante de la religion dans la conception de soi. Selon une approche constructiviste et interactionniste, l'identité est conçue comme un projet constamment négocié, reconstruit dans des processus d'interaction sociale et en fonction des contextes sociaux. Nos données suggèrent l'émergence de constructions identitaires complexes et attestent de la pluridimensionalité et de l'intersectionnalité des références identitaires utilisées dans la conception de soi et témoignent de la non-réduction des individus à des catégories fixes. Différentes catégories sont rendues significatives et de multiples frontières sont établies afin de se différencier de figures d'altérité changeantes, sélectivement choisies pour construire une certaine image de soi. Les discours identitaires témoignent de l'aspiration à une identité positive, dans une situation caractérisée par la perte du statut social et des stigmatisations multiples, en tant que ex-Yougoslaves, demandeurs d'asile et musulmans. Nos interlocuteurs établissent un répertoire identitaire composé de marqueurs transposés, inventés et revalorisés, leur permettant de reconstruire une identité positive pour soi et leurs audiences. Ce travail décrit les manières dont les individus établissent leur répertoire identitaire à l'aide de marqueurs transposés, inventés et revalorisés, leur permettant de reconstruire une identité positive pour soi et leurs audiences et montre comment les processus de différenciation de 'l'autre' dans le pays d'origine et d'accueil sont reliés. - The question addressed in this project with a qualitative design, is how muslim migrants and refugees from the former Socialist Federal Republic of Yugoslavia in Luxemburg negotiate salient identity references in a new social political environment and discusses the changing significance of religion and the way it is integrated in the identity patchwork. According to a constructivist and interactionist approach, conceiving identity as a constantly negotiated project, reconstructed in interaction and with regard to social context, identities are relevant only in relation to particular other groups and in certain situations of interaction. Our data suggest the emergence of complex identity patterns using multiple references for self- description and attest of the intersectionnality of identity references and show that individuals can't be reduced to fixed categories. Different categories are made salient and multiple symbolic boundaries are established in order to differentiate from different "others", selected in order to construct a certain self-concept. The discourses of our participants attest of an aspiration towards a positive identity in a situation characterized by the loss of social status and multiple stigmata. This thesis describes the ways how individuals establish their identity repertoire with invented, transposed and negotiated identity references, that allow them to construct a favourable identity for themselves and their public and shows how différenciation processes in home and host country are related.

A hierarchical approach to model parameter optimization for developmental systems.

In the context of Systems Biology, computer simulations of gene regulatory networks provide a powerful tool to validate hypotheses and to explore possible system behaviors. Nevertheless, modeling a system poses some challenges of its own: especially the step of model calibration is often difficult due to insufficient data. For example when considering developmental systems, mostly qualitative data describing the developmental trajectory is available while common calibration techniques rely on high-resolution quantitative data. Focusing on the calibration of differential equation models for developmental systems, this study investigates different approaches to utilize the available data to overcome these difficulties. More specifically, the fact that developmental processes are hierarchically organized is exploited to increase convergence rates of the calibration process as well as to save computation time. Using a gene regulatory network model for stem cell homeostasis in Arabidopsis thaliana the performance of the different investigated approaches is evaluated, documenting considerable gains provided by the proposed hierarchical approach.

RECHERCHE TRANSLATIONNELLE EN NEUROSCIENCES PSYCHIATRIQUES: DE L'ANIMAL MODELE DE SCHIZOPHRENIE A LA DETECTION D'UNE DESORIENTATION SPATIALE, PRATIQUE OU SYMBOLIQUE CHEZ DES PATIENTS

La modélisation, chez l'animal, de maladies psychiatriques telles que la schizophrénie repose sur différentes démarches visant à induire des perturbations cérébrales similaires à celles observées dans la maladie. Nous avons cherché à étudier chez le rat les effets d'une diminution (50%) transitoire en glutathion (GSH) durant le développement (PND 5 à PND 16) à partir de l'implication, chez des adultes, des conséquences de cette perturbation dans des mécanismes fondamentaux de traitement de l'information sensorielle. Cette thèse évalue et documente les déficits de compétences de navigation spatiale dans ce modèle. Nous avons mis en évidence des effets comportementaux à partir de l'identification de différences particulières dans des tâches d'orientation: des difficultés, chez les rats ayant subi un déficit en GSH, à élaborer une représentation globale de l'environnement dans lequel ils se déplacent, difficultés compensées par une attention particulière aux détails visuels le composant. Cette stratégie réactive compensatoire est efficace lorsque les conditions permettent un ajustement continu aux repères visuels environnementaux. Elle ne permet cependant pas des prédictions et des attentes sur ce qui devrait être rencontré et perçu dans une certaine direction, dès qu'une partie des informations visuelles familières disparaît. Il faudrait pour cela une capacité fondée sur une représentation abstraite, à distance des modalités sensorielles qui en ont permis son élaboration. Notre thèse soutient que les déficits, supposés participer à l'émergence de certains symptômes de la maladie, auraient également des conséquences sur l'élaboration de la représentation spatiale nécessaire à des capacités d'orientation effectives et symboliques. - The study of a psychiatric disease such as schizophrenia in an animal model relies on different approaches attempting to replicate brain perturbations similar to those observed in the illness. In the present work, behavioural consequences of a functional deficit in brain connectivity and coordination were assessed in rats with a transitory glutathione (GSH) deficit induced during the postnatal development (PND 5-PND 16) with daily injections of BSO (1- buthionine-(S,R)- sulfoximine). We searched for a theoretical syndrome associating ecologically relevant behavioural adaptive deficits and resulting from the weakening of sensory integration processes. Our results revealed significant and specific deficit of BSO treated rats in spatial orientation tasks designed to test for cognitive mapping abilities. Treated rats behaved as if impaired in the proactive strategies supported by an abstract representation such as a cognitive map. In contrast their performances were preserved whenever the environmental conditions allowed for adaptative reactive strategies, an equivalent of the visual affordances described by Gibson (1958). This supports our thesis that BSO treated rats expressed difficulties in elaborating a global representation of the environment. This deficit was completely - or - partially compensated by the development of an increased attention to the environment's visual details. This compensatory reactive strategy requires a rich environment allowing for continuous adjustment to visual cues. However, such adjustment doesn't allow to predictions and expectancies about what should be met and perceived in a certain direction, when familiar visual spatial cues are missing. Such competencies require orientation based on the use of an abstract spatial representation, independent from the specific sensory modalities that have participated to its elaboration. The impairment of BSO rats such spatial representation could result from a deficit in the integration and organization of perceptual information. Our model leads to the hypothesis that these fundamental deficits might account for certain symptoms of schizophrenia. They would also interfere with in the capacity to elaborate spatial representation necessary for optimal orientation in natural, artificial or symbolic environment.

Le trouble de l'adaptation, un diagnostic anodin ? : une étude comparative avec le trouble dépressif majeur

Résumé Le trouble de l'adaptation est un diagnostic très fréquent, mais étonnamment peu étudié et controversé. Il est, selon les études, considéré comme une forme mineure d'un trouble psychiatrique spécifique, comme une fragilité psychologique révélée par un événement stressant pour le sujet ou encore comme une forme précoce annonçant un trouble psychiatrique majeur. Ces trois points de vue ramènent en fait tous à la question de fond concernant son étiologie. L'objectif de cette étude est de montrer si le trouble de l'adaptation est un diagnostic clairement différencié dont l'existence est justifiée. Afin de tenter de répondre à cette question, il nous est apparu intéressant de comparer cette catégorie diagnostique à une autre catégorie diagnostique psychiatrique importante, le trouble dépressif majeur. Dans cette étude rétrospective nous avons sélectionné tous les patients avec un diagnostic de trouble de l'adaptation ou un trouble dépressif majeur parmi les patients hospitalisés à l'hôpital psychiatrique de Malévoz en Valais en 1993 (580). Elle est basée sur des diagnostics cliniques. Nous avons comparé leurs données socio-démographiques (âge, sexe, nationalité, état civil, activité professionnelle), leurs antécédents psychiatriques (hospitalisations antérieures, suivi psychiatrique ambulatoire, antécédents de tentamen), leurs hospitalisations ultérieures dans les 5 ans, leur hospitalisation actuelle (durée, tentamens, comorbidité) et les traitements médicamenteux prescrits (leur nombre et leur classe). Notre étude met en évidence certaines distinctions entre le trouble de l'adaptation et le trouble dépressif majeur: les patients souffrant de trouble de l'adaptation diffèrent des troubles dépressifs majeurs par le fait qu'ils sont plus fréquemment des hommes, célibataires et plus jeunes que ceux souffrant de trouble dépressif majeur; leur durée d'hospitalisation est plus courte, leur évolution entre les hospitalisations est meilleure et ils reçoivent moins de psychotropes. Nous ne pouvons cependant pas conclure à une distinction claire de ces deux catégories diagnostiques, ni que le trouble de l'adaptation n'est pas simplement lié à une moindre gravité. Nos résultats confirment par contre que ce diagnostic n'est pas non plus un diagnostic anodin (nombre élevé d'antécédents psychiatriques, de tentamens, d'hospitalisations psychiatriques ultérieures, importance des comorbidités de même que la lourdeur des traitements psychotropes prescrits (notamment la fréquence des neuroleptiques). A notre avis, les trois hypothèses étiologiques (forme mineure, trouble précoce ou fragilité psychologique spécifique révélée par un événement stressant) qui ont été évoquées peuvent être considérées comme plausibles suivant le point de vue que l'on choisit. Le diagnostic de trouble de l'adaptation révèle une des limitations de l'approche du DSM-Ill-R qui se veut athéorique. Le fait que dans sa définition même, le DSM-111-R évoque "qu'il faut souvent se référer au seul jugement clinique" le montre bien, un tel diagnostic renvoie inévitablement à une référence psychopathologique. Nous pensons qu'il est illusoire de vouloir se passer d'une telle référence qui elle seule permet d'appréhender justement la portée symbolique d'un événement donné pour un individu. Summary In this retrospective study we selected all the patients with a diagnosis of adjustment disorder (77) or major depressive disorder (125) among the patients hospitalised in the psychiatric hospital of Malevoz in Valais during the year 1993 (580). It is based on clinical diagnosis. Their social and demographic characteristics (age, sex, nationality, marital status, professional activity), their past psychiatric history (earlier psychiatric hospitalisations, ambulatory treatment and attempted suicide), their hospitalisations during the next 5 years, their index hospitalisation (length, attempted suicide, comorbidity) and their drug treatment (number and class of prescribed drugs) were compared. This survey confirms certain differences be-tween adjustment disorder and major depression disorder: patients suffering from adjustment disorder were more often men, not married, younger than those suffering from major depression; their hospitalisations were shorter with a better evolution between hospitalisations and they received less medication. However, the study does not allow to clearly distinguish between the two diagnoses or to conclude that adjustment disorder is not only a minor form of a specific psychiatric disorder. Yet it confirms that adjustment disorder is not a light diagnosis (importance of the psychiatric past, high number of past attempted suicides, rehospitalisations, number of comorbid disorders and weight of the prescribed psychotropic treatments among which neuroleptics were frequent). The three aetiological hypotheses that have been proposed (minor form of a specific disorder, specific psychological vulnerability revealed by a stress factor or precursor manifestation of a major psychiatric disorder) can still be considered as plausible. The diagnosis of adjustment disorder points to methodological limitations of the atheoretical approach of the DSM-III-R. The fact that, in its DSM-III-R definition, it is stated that the diagnosis of adjustment disorder has often to be based only on clinical judgment shows very well that such a diagnosis inevitably refers to a psychopathological theory. Indeed, the authors consider an approach without such a reference as difficult, a reference which remains the only way to appreciate accurately the symbolic weight of a given event for an individual person.

SlimCodeML: An Optimized Version of CodeML for the Branch-Site Model

CodeML (part of the PAML package) im- plements a maximum likelihood-based approach to de- tect positive selection on a specific branch of a given phylogenetic tree. While CodeML is widely used, it is very compute-intensive. We present SlimCodeML, an optimized version of CodeML for the branch-site model. Our performance analysis shows that SlimCodeML substantially outperforms CodeML (up to 9.38 times faster), especially for large-scale genomic analyses.

The influence of learning on evolution: a mathematical framework.

The Baldwin effect can be observed if phenotypic learning influences the evolutionary fitness of individuals, which can in turn accelerate or decelerate evolutionary change. Evidence for both learning-induced acceleration and deceleration can be found in the literature. Although the results for both outcomes were supported by specific mathematical or simulation models, no general predictions have been achieved so far. Here we propose a general framework to predict whether evolution benefits from learning or not. It is formulated in terms of the gain function, which quantifies the proportional change of fitness due to learning depending on the genotype value. With an inductive proof we show that a positive gain-function derivative implies that learning accelerates evolution, and a negative one implies deceleration under the condition that the population is distributed on a monotonic part of the fitness landscape. We show that the gain-function framework explains the results of several specific simulation models. We also use the gain-function framework to shed some light on the results of a recent biological experiment with fruit flies.

Towards robust network based complex systems : from evolutionary cellular automata to biological models

Abstract Sitting between your past and your future doesn't mean you are in the present. Dakota Skye Complex systems science is an interdisciplinary field grouping under the same umbrella dynamical phenomena from social, natural or mathematical sciences. The emergence of a higher order organization or behavior, transcending that expected of the linear addition of the parts, is a key factor shared by all these systems. Most complex systems can be modeled as networks that represent the interactions amongst the system's components. In addition to the actual nature of the part's interactions, the intrinsic topological structure of underlying network is believed to play a crucial role in the remarkable emergent behaviors exhibited by the systems. Moreover, the topology is also a key a factor to explain the extraordinary flexibility and resilience to perturbations when applied to transmission and diffusion phenomena. In this work, we study the effect of different network structures on the performance and on the fault tolerance of systems in two different contexts. In the first part, we study cellular automata, which are a simple paradigm for distributed computation. Cellular automata are made of basic Boolean computational units, the cells; relying on simple rules and information from- the surrounding cells to perform a global task. The limited visibility of the cells can be modeled as a network, where interactions amongst cells are governed by an underlying structure, usually a regular one. In order to increase the performance of cellular automata, we chose to change its topology. We applied computational principles inspired by Darwinian evolution, called evolutionary algorithms, to alter the system's topological structure starting from either a regular or a random one. The outcome is remarkable, as the resulting topologies find themselves sharing properties of both regular and random network, and display similitudes Watts-Strogtz's small-world network found in social systems. Moreover, the performance and tolerance to probabilistic faults of our small-world like cellular automata surpasses that of regular ones. In the second part, we use the context of biological genetic regulatory networks and, in particular, Kauffman's random Boolean networks model. In some ways, this model is close to cellular automata, although is not expected to perform any task. Instead, it simulates the time-evolution of genetic regulation within living organisms under strict conditions. The original model, though very attractive by it's simplicity, suffered from important shortcomings unveiled by the recent advances in genetics and biology. We propose to use these new discoveries to improve the original model. Firstly, we have used artificial topologies believed to be closer to that of gene regulatory networks. We have also studied actual biological organisms, and used parts of their genetic regulatory networks in our models. Secondly, we have addressed the improbable full synchronicity of the event taking place on. Boolean networks and proposed a more biologically plausible cascading scheme. Finally, we tackled the actual Boolean functions of the model, i.e. the specifics of how genes activate according to the activity of upstream genes, and presented a new update function that takes into account the actual promoting and repressing effects of one gene on another. Our improved models demonstrate the expected, biologically sound, behavior of previous GRN model, yet with superior resistance to perturbations. We believe they are one step closer to the biological reality.

Gene-flow in a mosaic hybrid zone: is local introgression adaptive?

Genome-wide scans of genetic differentiation between hybridizing taxa can identify genome regions with unusual rates of introgression. Regions of high differentiation might represent barriers to gene flow, while regions of low differentiation might indicate adaptive introgression-the spread of selectively beneficial alleles between reproductively isolated genetic backgrounds. Here we conduct a scan for unusual patterns of differentiation in a mosaic hybrid zone between two mussel species, Mytilus edulis and M. galloprovincialis. One outlying locus, mac-1, showed a characteristic footprint of local introgression, with abnormally high frequency of edulis-derived alleles in a patch of M. galloprovincialis enclosed within the mosaic zone, but low frequencies outside of the zone. Further analysis of DNA sequences showed that almost all of the edulis allelic diversity had introgressed into the M. galloprovincialis background in this patch. We then used a variety of approaches to test the hypothesis that there had been adaptive introgression at mac-1. Simulations and model fitting with maximum-likelihood and approximate Bayesian computation approaches suggested that adaptive introgression could generate a "soft sweep," which was qualitatively consistent with our data. Although the migration rate required was high, it was compatible with the functioning of an effective barrier to gene flow as revealed by demographic inferences. As such, adaptive introgression could explain both the reduced intraspecific differentiation around mac-1 and the high diversity of introgressed alleles, although a localized change in barrier strength may also be invoked. Together, our results emphasize the need to account for the complex history of secondary contacts in interpreting outlier loci.

Scalable inference of heterogeneous reaction kinetics from pooled single-cell recordings.

Mathematical methods combined with measurements of single-cell dynamics provide a means to reconstruct intracellular processes that are only partly or indirectly accessible experimentally. To obtain reliable reconstructions, the pooling of measurements from several cells of a clonal population is mandatory. However, cell-to-cell variability originating from diverse sources poses computational challenges for such process reconstruction. We introduce a scalable Bayesian inference framework that properly accounts for population heterogeneity. The method allows inference of inaccessible molecular states and kinetic parameters; computation of Bayes factors for model selection; and dissection of intrinsic, extrinsic and technical noise. We show how additional single-cell readouts such as morphological features can be included in the analysis. We use the method to reconstruct the expression dynamics of a gene under an inducible promoter in yeast from time-lapse microscopy data.

Reply to Budowle, Ge, Chakraborty and Gill-King: use of prior odds for missing persons identifications

Prior probabilities represent a core element of the Bayesian probabilistic approach to relatedness testing. This letter opinions on the commentary 'Use of prior odds for missing persons identifications' by Budowle et al. (2011), published recently in this journal. Contrary to Budowle et al. (2011), we argue that the concept of prior probabilities (i) is not endowed with the notion of objectivity, (ii) is not a case for computation and (iii) does not require new guidelines edited by the forensic DNA community - as long as probability is properly considered as an expression of personal belief. Please see related article: http://www.investigativegenetics.com/content/3/1/3