63 related articles for article (PubMed ID: 26357335)
21. Multivariate search for differentially expressed gene combinations.
Xiao Y; Frisina R; Gordon A; Klebanov L; Yakovlev A
BMC Bioinformatics; 2004 Oct; 5():164. PubMed ID: 15507138
[TBL] [Abstract][Full Text] [Related]
22. PAP: a comprehensive workbench for mammalian transcriptional regulatory sequence analysis.
Chang LW; Fontaine BR; Stormo GD; Nagarajan R
Nucleic Acids Res; 2007 Jul; 35(Web Server issue):W238-44. PubMed ID: 17517777
[TBL] [Abstract][Full Text] [Related]
23. Optimized multi-stage designs controlling the false discovery or the family-wise error rate.
Zehetmayer S; Bauer P; Posch M
Stat Med; 2008 Sep; 27(21):4145-60. PubMed ID: 18444249
[TBL] [Abstract][Full Text] [Related]
24. Statistical methods for ranking differentially expressed genes.
Broberg P
Genome Biol; 2003; 4(6):R41. PubMed ID: 12801415
[TBL] [Abstract][Full Text] [Related]
25. Single molecule dynamics and statistical fluctuations of gene regulatory networks: a repressilator.
Kim KY; Lepzelter D; Wang J
J Chem Phys; 2007 Jan; 126(3):034702. PubMed ID: 17249891
[TBL] [Abstract][Full Text] [Related]
26. Two-stage designs for experiments with a large number of hypotheses.
Zehetmayer S; Bauer P; Posch M
Bioinformatics; 2005 Oct; 21(19):3771-7. PubMed ID: 16091414
[TBL] [Abstract][Full Text] [Related]
27. Bias in the estimation of false discovery rate in microarray studies.
Pawitan Y; Murthy KR; Michiels S; Ploner A
Bioinformatics; 2005 Oct; 21(20):3865-72. PubMed ID: 16105901
[TBL] [Abstract][Full Text] [Related]
28. Smoothing gene expression data with network information improves consistency of regulated genes.
Dørum G; Snipen L; Solheim M; Saebo S
Stat Appl Genet Mol Biol; 2011 Aug; 10(1):. PubMed ID: 23089828
[TBL] [Abstract][Full Text] [Related]
29. Comparison of seven methods for producing Affymetrix expression scores based on False Discovery Rates in disease profiling data.
Shedden K; Chen W; Kuick R; Ghosh D; Macdonald J; Cho KR; Giordano TJ; Gruber SB; Fearon ER; Taylor JM; Hanash S
BMC Bioinformatics; 2005 Feb; 6():26. PubMed ID: 15705192
[TBL] [Abstract][Full Text] [Related]
30. On construction of stochastic genetic networks based on gene expression sequences.
Ching WK; Ng MM; Fung ES; Akutsu T
Int J Neural Syst; 2005 Aug; 15(4):297-310. PubMed ID: 16187405
[TBL] [Abstract][Full Text] [Related]
31. Quantifying the notions of canalizing and master genes in a gene regulatory network-a Boolean network modeling perspective.
Kim E; Ivanov I; Dougherty ER
Bioinformatics; 2019 Feb; 35(4):643-649. PubMed ID: 30052771
[TBL] [Abstract][Full Text] [Related]
32. Benchmarking of dynamic Bayesian networks inferred from stochastic time-series data.
David LA; Wiggins CH
Ann N Y Acad Sci; 2007 Dec; 1115():90-101. PubMed ID: 17925346
[TBL] [Abstract][Full Text] [Related]
33. Parallelized evolutionary learning for detection of biclusters in gene expression data.
Huang Q; Tao D; Li X; Liew AW
IEEE/ACM Trans Comput Biol Bioinform; 2012; 9(2):560-70. PubMed ID: 21383419
[TBL] [Abstract][Full Text] [Related]
34. Prediction of pairwise gene interaction using threshold logic.
Gowda T; Vrudhula S; Kim S
Ann N Y Acad Sci; 2009 Mar; 1158():276-86. PubMed ID: 19348649
[TBL] [Abstract][Full Text] [Related]
35. A mathematical model for the validation of gene selection methods.
Muselli M; Bertoni A; Frasca M; Beghini A; Ruffino F; Valentini G
IEEE/ACM Trans Comput Biol Bioinform; 2011; 8(5):1385-92. PubMed ID: 21778526
[TBL] [Abstract][Full Text] [Related]
36. Practical FDR-based sample size calculations in microarray experiments.
Hu J; Zou F; Wright FA
Bioinformatics; 2005 Aug; 21(15):3264-72. PubMed ID: 15932903
[TBL] [Abstract][Full Text] [Related]
37. RankProd: a bioconductor package for detecting differentially expressed genes in meta-analysis.
Hong F; Breitling R; McEntee CW; Wittner BS; Nemhauser JL; Chory J
Bioinformatics; 2006 Nov; 22(22):2825-7. PubMed ID: 16982708
[TBL] [Abstract][Full Text] [Related]
38. A Bayesian methodology for detecting targeted genes under two related experiments.
Bansal NK; Jiang H; Pradeep P
Stat Med; 2015 Nov; 34(25):3362-75. PubMed ID: 26112310
[TBL] [Abstract][Full Text] [Related]
39. Constructing logical models of gene regulatory networks by integrating transcription factor-DNA interactions with expression data: an entropy-based approach.
Karlebach G; Shamir R
J Comput Biol; 2012 Jan; 19(1):30-41. PubMed ID: 22216865
[TBL] [Abstract][Full Text] [Related]
40. Discovering gene expression patterns in time course microarray experiments by ANOVA-SCA.
Nueda MJ; Conesa A; Westerhuis JA; Hoefsloot HC; Smilde AK; Talón M; Ferrer A
Bioinformatics; 2007 Jul; 23(14):1792-800. PubMed ID: 17519250
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
