Search Results - "Daudin, Jean Jacques"
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Consistency of maximum-likelihood and variational estimators in the stochastic block model
Published in Electronic journal of statistics (01-01-2012)“…The stochastic block model (SBM) is a probabilistic model designed to describe heterogeneous directed and undirected graphs. In this paper, we address the…”
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2
A statistical approach for array CGH data analysis
Published in BMC bioinformatics (11-02-2005)“…Microarray-CGH experiments are used to detect and map chromosomal imbalances, by hybridizing targets of genomic DNA from a test and a reference sample to…”
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3
Clustering methods differ in their ability to detect patterns in ecological networks
Published in Methods in ecology and evolution (01-04-2015)“…Summary Network ecology has been an extraordinarily fertile field of research over the last 20 years. Its ultimate goal is to understand how the complex…”
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Risk-Based Approach for Microbiological Food Safety Management in the Dairy Industry: The Case of Listeria monocytogenes in Soft Cheese Made from Pasteurized Milk
Published in Risk analysis (01-01-2014)“…According to Codex Alimentarius Commission recommendations, management options applied at the process production level should be based on good hygiene…”
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5
Characterization of the Three-Factor Eating Questionnaire scores of a young French cohort
Published in Appetite (01-10-2012)“…• French adults are characterized by low restraint and low disinhibition levels. • Disinhibition is the factor most strongly associated to BMI independently of…”
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6
Detection of structurally homogeneous subsets in graphs
Published in Statistics and computing (01-09-2014)“…The analysis of complex networks is a rapidly growing topic with many applications in different domains. The analysis of large graphs is often made via…”
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7
Putting the biological species concept to the test: using mating networks to delimit species
Published in PloS one (20-06-2013)“…Although interfertility is the key criterion upon which Mayr's biological species concept is based, it has never been applied directly to delimit species under…”
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Deciphering the connectivity structure of biological networks using MixNet
Published in BMC bioinformatics (16-06-2009)“…As biological networks often show complex topological features, mathematical methods are required to extract meaningful information. Clustering methods are…”
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Variation of gene expression associated with colonisation of an anthropized environment: comparison between African and European populations of Drosophila simulans
Published in PloS one (18-11-2013)“…The comparison of transcriptome profiles among populations is a powerful tool for investigating the role of gene expression change in adaptation to new…”
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10
Stochastic, Compartmental, and Dynamic Modeling of Cross-Contamination During Mechanical Smearing of Cheeses
Published in Risk analysis (01-06-2006)“…Cheese smearing is a complex process and the potential for cross‐contamination with pathogenic or undesirable microorganisms is critical. During ripening,…”
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11
Model for Heterogeneous Random Networks Using Continuous Latent Variables and an Application to a Tree-Fungus Network
Published in Biometrics (01-12-2010)“…Summary The mixture model is a method of choice for modeling heterogeneous random graphs, because it contains most of the known structures of heterogeneity:…”
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12
Biases induced by pooling samples in microarray experiments
Published in Bioinformatics (01-07-2007)“…Motivation: If there is insufficient RNA from the tissues under investigation from one organism, then it is common practice to pool RNA. An important question…”
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Multi-residue analysis of pharmaceuticals in aqueous environmental samples by online solid-phase extraction–ultra-high-performance liquid chromatography-tandem mass spectrometry: Optimisation and matrix effects reduction by quick, easy, cheap, effective, rugged and safe extraction
Published in Journal of Chromatography A (04-07-2014)“…•An optimised multi-residue method to quantify pharmaceuticals in aqueous samples.•Modified QuEChERS salts allow fluoroquinolones and tetracyclines to be…”
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14
Evaluation of the gene-specific dye bias in cDNA microarray experiments
Published in Bioinformatics (01-05-2005)“…Motivation: In cDNA microarray experiments all samples are labeled with either Cy3 or Cy5. Systematic and gene-specific dye bias effects have been observed in…”
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15
Accuracy of variational estimates for random graph mixture models
Published in Journal of statistical computation and simulation (01-06-2012)“…Variational and variational Bayes techniques are popular approaches for statistical inference of complex models but their theoretical properties are still not…”
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16
Factors influencing the extraction of pharmaceuticals from sewage sludge and soil: an experimental design approach
Published in Analytical and bioanalytical chemistry (01-09-2016)“…Pharmaceuticals can enter the environment when organic waste products are recycled on agricultural soils. The extraction of pharmaceuticals is a challenging…”
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An experimental design approach to optimise the determination of polycyclic aromatic hydrocarbons from rainfall water using stir bar sorptive extraction and high performance liquid chromatography-fluorescence detection
Published in Journal of Chromatography A (12-10-2007)“…Stir bar sorptive extraction (SBSE) followed by HPLC-fluorescence detection (FLD) was optimised for analysing 15 polycyclic aromatic hydrocarbons (PAHs) from…”
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18
A penalized criterion for variable selection in classification
Published in Journal of multivariate analysis (01-04-2007)“…In this paper, the problem of variable selection in classification is considered. On the basis of recent developments in model selection theory, we provide a…”
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Statistical methodology for the analysis of dye-switch microarray experiments
Published in BMC bioinformatics (13-02-2008)“…In individually dye-balanced microarray designs, each biological sample is hybridized on two different slides, once with Cy3 and once with Cy5. While this…”
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20
Spotting effect in microarray experiments
Published in BMC bioinformatics (19-05-2004)“…Microarray data must be normalized because they suffer from multiple biases. We have identified a source of spatial experimental variability that significantly…”
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