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Adaptive linear step-up procedures that control the false discovery rateBENJAMINI, Yoav; KRIEGER, Abba M; YEKUTIELI, Daniel et al.Biometrika. 2006, Vol 93, Num 3, pp 491-507, issn 0006-3444, 17 p.Article

Potential Bias in GO::Term FinderFLIGHT, Robert M; WENTZELL, Peter D.Briefings in bioinformatics. 2009, Vol 10, Num 3, pp 289-294, issn 1467-5463, 6 p.Article

Can the false-discovery rate be misleading?BARBOZA, Rodrigo; COCIORVA, Daniel; TAO XU et al.Proteomics (Weinheim. Print). 2011, Vol 11, Num 20, pp 4105-4108, issn 1615-9853, 4 p.Article

Comparaisons multiples pour les microarraysBAR-HEN, Avner; DAUDIN, Jean-Jacques; ROBIN, Stéphane et al.Journal de la Société française de statistique. 2005, Vol 146, Num 1-2, pp 45-62, issn 1625-7421, 18 p.Article

ALE meta-analysis: Controlling the false discovery rate and performing statistical contrastsLAIRD, Angela R; FOX, P. Mickle; PRICE, Cathy J et al.Human brain mapping. 2005, Vol 25, Num 1, pp 155-164, issn 1065-9471, 10 p.Article

Adaptive Control of the False Discovery Rate in Voxel-Based MorphometrySINING CHEN; CHI WANG; EBERLY, Lynn E et al.Human brain mapping. 2009, Vol 30, Num 7, pp 2304-2311, issn 1065-9471, 8 p.Article

Generalized Augmentation to Control the False Discovery Exceedance in Multiple TestingFARCOMENI, Alessio.Scandinavian journal of statistics. 2009, Vol 36, Num 3, pp 501-517, issn 0303-6898, 17 p.Article

Model selection in a global analysis of a microarray experimentDIAZ, C; MORENO-SANCHEZ, N; RUEDA, J et al.Journal of animal science. 2009, Vol 87, Num 1, pp 88-98, issn 0021-8812, 11 p.Article

Judicious use of multiple hypothesis testsROBACK, Paul J; ASKINS, Robert A.Conservation biology. 2005, Vol 19, Num 1, pp 261-267, issn 0888-8892, 7 p.Article

Analysis of multilocus models of associationDEVLIN, B; ROEDER, Kathryn; WASSERMAN, Larry et al.Genetic epidemiology. 2003, Vol 25, Num 1, pp 36-47, issn 0741-0395, 12 p.Article

Protein inference: a reviewTING HUANG; JINGJING WANG; WEICHUAN YU et al.Briefings in bioinformatics. 2012, Vol 13, Num 5, pp 586-614, issn 1467-5463, 29 p.Article

Improving sensitivity in proteome studies by analysis of false discovery rates for multiple search enginesJONES, Andrew R; SIEPEN, Jennifer A; HUBBARD, Simon J et al.Proteomics (Weinheim. Print). 2009, Vol 9, Num 5, pp 1220-1229, issn 1615-9853, 10 p.Article

Estimating the Number of Genes That Are Differentially Expressed in Both of Two Independent ExperimentsORR, Megan; PENG LIU; NETTLETON, Dan et al.Journal of agricultural, biological, and environmental statistics. 2012, Vol 17, Num 4, pp 583-600, issn 1085-7117, 18 p.Article

Improving the sensitivity of MASCOT search results validation by combining new features with Bayesian nonparametric modelJIE MA; JIYANG ZHANG; SONGFENG WU et al.Proteomics (Weinheim. Print). 2010, Vol 10, Num 23, pp 4293-4300, issn 1615-9853, 8 p.Article

Comparison of false discovery rate methods in identifying genes with differential expressionQIAN, Hui-Rong; SHUGUANG HUANG.Genomics (San Diego, Calif.). 2005, Vol 86, Num 4, pp 495-503, issn 0888-7543, 9 p.Article

Estimating false discovery rates for peptide and protein identification using randomized databasesHATHER, Gregory; HIGDON, Roger; BAUMAN, Andrew et al.Proteomics (Weinheim. Print). 2010, Vol 10, Num 12, pp 2369-2376, issn 1615-9853, 8 p.Article

More on the inadmissibility of step-upCOHEN, Arthur; SACKROWITZ, Harold B.Journal of multivariate analysis. 2007, Vol 98, Num 3, pp 481-492, issn 0047-259X, 12 p.Article

Variance of the number of false discoveriesOWEN, Art B.Journal of the Royal Statistical Society. Series B, statistical methodology. 2005, Vol 67, pp 411-426, issn 1369-7412, 16 p., 3Article

Work efficiency: A new criterion for comprehensive comparison and evaluation of statistical methods in large-scale identification of differentially expressed genesTAN, Yuan-De.Genomics (San Diego, Calif.). 2011, Vol 98, Num 5, pp 390-399, issn 0888-7543, 10 p.Article

An easy-to-use Decoy Database Builder software tool, implementing different decoy strategies for false discovery rate calculation in automated MS/MS protein identificationsREIDEGELD, Kai A; EISENACHER, Martin; KOHL, Michael et al.Proteomics (Weinheim. Print). 2008, Vol 8, Num 6, pp 1129-1137, issn 1615-9853, 9 p.Article

Multiple comparisons : philosophies and illustrationsCURRAN-EVERETT, D.American journal of physiology. Regulatory, integrative and comparative physiology. 2000, Vol 48, Num 1, pp R1-R8, issn 0363-6119Article

An improved method for the construction of decoy peptide MS/MS spectra suitable for the accurate estimation of false discovery ratesAHRNE, Erik; OHTA, Yuki; NIKITIN, Frederic et al.Proteomics (Weinheim. Print). 2011, Vol 11, Num 20, pp 4085-4095, issn 1615-9853, 11 p.Article

Ranking analysis of microarray data : A powerful method for identifying differentially expressed genesTAN, Yuan-De; FORNAGE, Myriam; FU, Yun-Xin et al.Genomics (San Diego, Calif.). 2006, Vol 88, Num 6, pp 846-854, issn 0888-7543, 9 p.Article

Cluster-extent based thresholding in fMRI analyses: Pitfalls and recommendationsWOO, Choong-Wan; KRISHNAN, Anjali; WAGER, Tor D et al.NeuroImage (Orlando, Fla.). 2014, Vol 91, pp 412-419, issn 1053-8119, 8 p.Article

Resolving confusion of tongues in statistics and machine learning: A primer for biologists and bioinformaticiansVAN ITERSON, Maarten; VAN HAAGEN, Herman H. H. B. M; GOEMAN, Jelle J et al.Proteomics (Weinheim. Print). 2012, Vol 12, Num 4-5, pp 543-549, issn 1615-9853, 7 p.Article

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