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Genome Biology
|
April 13, 2007
Statistical tools for synthesizing lists of differentially expressed features in related experiments
Marta Blangiardo, Sylvia Richardson
Journal of Statistical Planning and Inference
|
June 23, 2016
Exploring dependence between categorical variables: Benefits and limitations of using variable selection within Bayesian clustering in relation to log-linear modelling with interaction terms
Michail Papathomas, Sylvia Richardson
Bioinformatics (Oxford, England)
|
February 4, 2006
Detection of gene copy number changes in CGH microarrays using a spatially correlated mixture model
Philippe Broët, Sylvia Richardson
Bioinformatics Advances
|
December 28, 2023
StabJGL: a stability approach to sparsity and similarity selection in multiple-network reconstruction
Camilla Lingjærde, Sylvia Richardson
BMC Bioinformatics
|
December 3, 2008
A Bayesian calibration model for combining different pre-processing methods in Affymetrix chips
Marta Blangiardo, Sylvia Richardson
Biometrics
|
April 23, 2019
Fast Bayesian inference in large Gaussian graphical models
Gwenaël G R Leday, Sylvia Richardson
BMC Bioinformatics
|
May 22, 2010
sdef: an R package to synthesize lists of significant features in related experiments
Marta Blangiardo, Alberto Cassese, Sylvia Richardson
BMC Bioinformatics
|
July 22, 2006
A powerful method for detecting differentially expressed genes from GeneChip arrays that does not require replicates
Anne-Mette K Hein, Sylvia Richardson
Biostatistics (Oxford, England)
|
May 17, 2008
Adjusting for selection bias in retrospective, case-control studies
Sara Geneletti, Sylvia Richardson, Nicky Best
Statistical Applications in Genetics and Molecular Biology
|
January 4, 2008
Fully Bayesian mixture model for differential gene expression: simulations and model checks
Alex Lewin, Natalia Bochkina, Sylvia Richardson
Page
of 12
Search research articles
Search
Showing results (1-10 of 116) with videos related to
Sort By:
Page
of 12
Genome Biology
|
April 13, 2007
Statistical tools for synthesizing lists of differentially expressed features in related experiments
Marta Blangiardo, Sylvia Richardson
Journal of Statistical Planning and Inference
|
June 23, 2016
Exploring dependence between categorical variables: Benefits and limitations of using variable selection within Bayesian clustering in relation to log-linear modelling with interaction terms
Michail Papathomas, Sylvia Richardson
Bioinformatics (Oxford, England)
|
February 4, 2006
Detection of gene copy number changes in CGH microarrays using a spatially correlated mixture model
Philippe Broët, Sylvia Richardson
Bioinformatics Advances
|
December 28, 2023
StabJGL: a stability approach to sparsity and similarity selection in multiple-network reconstruction
Camilla Lingjærde, Sylvia Richardson
BMC Bioinformatics
|
December 3, 2008
A Bayesian calibration model for combining different pre-processing methods in Affymetrix chips
Marta Blangiardo, Sylvia Richardson
Biometrics
|
April 23, 2019
Fast Bayesian inference in large Gaussian graphical models
Gwenaël G R Leday, Sylvia Richardson
BMC Bioinformatics
|
May 22, 2010
sdef: an R package to synthesize lists of significant features in related experiments
Marta Blangiardo, Alberto Cassese, Sylvia Richardson
BMC Bioinformatics
|
July 22, 2006
A powerful method for detecting differentially expressed genes from GeneChip arrays that does not require replicates
Anne-Mette K Hein, Sylvia Richardson
Biostatistics (Oxford, England)
|
May 17, 2008
Adjusting for selection bias in retrospective, case-control studies
Sara Geneletti, Sylvia Richardson, Nicky Best
Statistical Applications in Genetics and Molecular Biology
|
January 4, 2008
Fully Bayesian mixture model for differential gene expression: simulations and model checks
Alex Lewin, Natalia Bochkina, Sylvia Richardson
Page
of 12