Lazar C - Search Results

1

DAPAR & ProStaR: software to perform statistical analyses in quantitative discovery proteomics.

Wieczorek S, Combes F, Lazar C, Giai Gianetto Q, Gatto L, Dorffer A, Hesse AM, Couté Y, Ferro M, Bruley C, Burger T. Wieczorek S, et al. Among authors: lazar c. Bioinformatics. 2017 Jan 1;33(1):135-136. doi: 10.1093/bioinformatics/btw580. Epub 2016 Sep 6. Bioinformatics. 2017. PMID: 27605098 Free PMC article.

2

Accounting for the Multiple Natures of Missing Values in Label-Free Quantitative Proteomics Data Sets to Compare Imputation Strategies.

Lazar C, Gatto L, Ferro M, Bruley C, Burger T. Lazar C, et al. J Proteome Res. 2016 Apr 1;15(4):1116-25. doi: 10.1021/acs.jproteome.5b00981. Epub 2016 Mar 1. J Proteome Res. 2016. PMID: 26906401 Free article.

3

Deciphering thylakoid sub-compartments using a mass spectrometry-based approach.

Tomizioli M, Lazar C, Brugière S, Burger T, Salvi D, Gatto L, Moyet L, Breckels LM, Hesse AM, Lilley KS, Seigneurin-Berny D, Finazzi G, Rolland N, Ferro M. Tomizioli M, et al. Among authors: lazar c. Mol Cell Proteomics. 2014 Aug;13(8):2147-67. doi: 10.1074/mcp.M114.040923. Epub 2014 May 28. Mol Cell Proteomics. 2014. PMID: 24872594 Free PMC article.

4

inSilicoDb: an R/Bioconductor package for accessing human Affymetrix expert-curated datasets from GEO.

Taminau J, Steenhoff D, Coletta A, Meganck S, Lazar C, de Schaetzen V, Duque R, Molter C, Bersini H, Nowé A, Weiss Solís DY. Taminau J, et al. Among authors: lazar c. Bioinformatics. 2011 Nov 15;27(22):3204-5. doi: 10.1093/bioinformatics/btr529. Epub 2011 Sep 21. Bioinformatics. 2011. PMID: 21937664

5

A survey on filter techniques for feature selection in gene expression microarray analysis.

Lazar C, Taminau J, Meganck S, Steenhoff D, Coletta A, Molter C, de Schaetzen V, Duque R, Bersini H, Nowé A. Lazar C, et al. IEEE/ACM Trans Comput Biol Bioinform. 2012 Jul-Aug;9(4):1106-19. doi: 10.1109/TCBB.2012.33. IEEE/ACM Trans Comput Biol Bioinform. 2012. PMID: 22350210

6

Batch effect removal methods for microarray gene expression data integration: a survey.

Lazar C, Meganck S, Taminau J, Steenhoff D, Coletta A, Molter C, Weiss-Solís DY, Duque R, Bersini H, Nowé A. Lazar C, et al. Brief Bioinform. 2013 Jul;14(4):469-90. doi: 10.1093/bib/bbs037. Epub 2012 Jul 31. Brief Bioinform. 2013. PMID: 22851511

7

GENESHIFT: a nonparametric approach for integrating microarray gene expression data based on the inner product as a distance measure between the distributions of genes.

Lazar C, Taminau J, Meganck S, Steenhoff D, Coletta A, Solís DY, Molter C, Duque R, Bersini H, Nowé A. Lazar C, et al. IEEE/ACM Trans Comput Biol Bioinform. 2013 Mar-Apr;10(2):383-92. doi: 10.1109/TCBB.2013.12. IEEE/ACM Trans Comput Biol Bioinform. 2013. PMID: 23929862

8

InSilico DB genomic datasets hub: an efficient starting point for analyzing genome-wide studies in GenePattern, Integrative Genomics Viewer, and R/Bioconductor.

Coletta A, Molter C, Duqué R, Steenhoff D, Taminau J, de Schaetzen V, Meganck S, Lazar C, Venet D, Detours V, Nowé A, Bersini H, Weiss Solís DY. Coletta A, et al. Among authors: lazar c. Genome Biol. 2012 Nov 18;13(11):R104. doi: 10.1186/gb-2012-13-11-r104. Genome Biol. 2012. PMID: 23158523 Free PMC article.

9

Comparison of merging and meta-analysis as alternative approaches for integrative gene expression analysis.

Taminau J, Lazar C, Meganck S, Nowé A. Taminau J, et al. Among authors: lazar c. ISRN Bioinform. 2014 Jan 12;2014:345106. doi: 10.1155/2014/345106. eCollection 2014. ISRN Bioinform. 2014. PMID: 25937953 Free PMC article.

10

GA(M)E-QSAR: a novel, fully automatic genetic-algorithm-(meta)-ensembles approach for binary classification in ligand-based drug design.

Pérez-Castillo Y, Lazar C, Taminau J, Froeyen M, Cabrera-Pérez MÁ, Nowé A. Pérez-Castillo Y, et al. Among authors: lazar c. J Chem Inf Model. 2012 Sep 24;52(9):2366-86. doi: 10.1021/ci300146h. Epub 2012 Aug 28. J Chem Inf Model. 2012. PMID: 22856471

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