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Cosmin Lazar

Showing results (1-10 of 12) with videos related to

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ISRN Bioinformatics|May 5, 2015
Comparison of merging and meta-analysis as alternative approaches for integrative gene expression analysisJonatan Taminau, Cosmin Lazar, Stijn Meganck, et al.
Journal of Proteome Research|February 25, 2016
Accounting for the Multiple Natures of Missing Values in Label-Free Quantitative Proteomics Data Sets to Compare Imputation StrategiesCosmin Lazar, Laurent Gatto, Myriam Ferro, et al.
Journal of Chemical Information and Modeling|August 4, 2012
GA(M)E-QSAR: a novel, fully automatic genetic-algorithm-(meta)-ensembles approach for binary classification in ligand-based drug designYunierkis Pérez-Castillo, Cosmin Lazar, Jonatan Taminau, et al.
Molecular Diversity|March 28, 2014
Toward the computer-aided discovery of FabH inhibitors. Do predictive QSAR models ensure high quality virtual screening performance?Yunierkis Pérez-Castillo, Maykel Cruz-Monteagudo, Cosmin Lazar, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|February 22, 2012
A survey on filter techniques for feature selection in gene expression microarray analysisCosmin Lazar, Jonatan Taminau, Stijn Meganck, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|August 10, 2013
GENESHIFT: a nonparametric approach for integrating microarray gene expression data based on the inner product as a distance measure between the distributions of genesCosmin Lazar, Jonatan Taminau, Stijn Meganck, et al.
Briefings in Bioinformatics|August 2, 2012
Batch effect removal methods for microarray gene expression data integration: a surveyCosmin Lazar, Stijn Meganck, Jonatan Taminau, et al.
Bioinformatics (Oxford, England)|September 9, 2016
DAPAR & ProStaR: software to perform statistical analyses in quantitative discovery proteomicsSamuel Wieczorek, Florence Combes, Cosmin Lazar, et al.
Bioinformatics (Oxford, England)|September 23, 2011
inSilicoDb: an R/Bioconductor package for accessing human Affymetrix expert-curated datasets from GEOJonatan Taminau, David Steenhoff, Alain Coletta, et al.
BMC Bioinformatics|December 25, 2012
Unlocking the potential of publicly available microarray data using inSilicoDb and inSilicoMerging R/Bioconductor packagesJonatan Taminau, Stijn Meganck, Cosmin Lazar, et al.
Pageof 2

Showing results (1-10 of 12) with videos related to

Sort By:
Pageof 2
ISRN Bioinformatics|May 5, 2015
Comparison of merging and meta-analysis as alternative approaches for integrative gene expression analysisJonatan Taminau, Cosmin Lazar, Stijn Meganck, et al.
Journal of Proteome Research|February 25, 2016
Accounting for the Multiple Natures of Missing Values in Label-Free Quantitative Proteomics Data Sets to Compare Imputation StrategiesCosmin Lazar, Laurent Gatto, Myriam Ferro, et al.
Journal of Chemical Information and Modeling|August 4, 2012
GA(M)E-QSAR: a novel, fully automatic genetic-algorithm-(meta)-ensembles approach for binary classification in ligand-based drug designYunierkis Pérez-Castillo, Cosmin Lazar, Jonatan Taminau, et al.
Molecular Diversity|March 28, 2014
Toward the computer-aided discovery of FabH inhibitors. Do predictive QSAR models ensure high quality virtual screening performance?Yunierkis Pérez-Castillo, Maykel Cruz-Monteagudo, Cosmin Lazar, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|February 22, 2012
A survey on filter techniques for feature selection in gene expression microarray analysisCosmin Lazar, Jonatan Taminau, Stijn Meganck, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|August 10, 2013
GENESHIFT: a nonparametric approach for integrating microarray gene expression data based on the inner product as a distance measure between the distributions of genesCosmin Lazar, Jonatan Taminau, Stijn Meganck, et al.
Briefings in Bioinformatics|August 2, 2012
Batch effect removal methods for microarray gene expression data integration: a surveyCosmin Lazar, Stijn Meganck, Jonatan Taminau, et al.
Bioinformatics (Oxford, England)|September 9, 2016
DAPAR & ProStaR: software to perform statistical analyses in quantitative discovery proteomicsSamuel Wieczorek, Florence Combes, Cosmin Lazar, et al.
Bioinformatics (Oxford, England)|September 23, 2011
inSilicoDb: an R/Bioconductor package for accessing human Affymetrix expert-curated datasets from GEOJonatan Taminau, David Steenhoff, Alain Coletta, et al.
BMC Bioinformatics|December 25, 2012
Unlocking the potential of publicly available microarray data using inSilicoDb and inSilicoMerging R/Bioconductor packagesJonatan Taminau, Stijn Meganck, Cosmin Lazar, et al.
Pageof 2