191 related articles for article (PubMed ID: 22734592)
21. Confident difference criterion: a new Bayesian differentially expressed gene selection algorithm with applications.
Yu F; Chen MH; Kuo L; Talbott H; Davis JS
BMC Bioinformatics; 2015 Aug; 16():245. PubMed ID: 26250443
[TBL] [Abstract][Full Text] [Related]
22. Modified nonparametric approaches to detecting differentially expressed genes in replicated microarray experiments.
Zhao Y; Pan W
Bioinformatics; 2003 Jun; 19(9):1046-54. PubMed ID: 12801864
[TBL] [Abstract][Full Text] [Related]
23. BABAR: an R package to simplify the normalisation of common reference design microarray-based transcriptomic datasets.
Alston MJ; Seers J; Hinton JC; Lucchini S
BMC Bioinformatics; 2010 Feb; 11():73. PubMed ID: 20128918
[TBL] [Abstract][Full Text] [Related]
24. A Robust Approach for Identification of Cancer Biomarkers and Candidate Drugs.
Shahjaman M; Rahman MR; Islam SMS; Mollah MNH
Medicina (Kaunas); 2019 Jun; 55(6):. PubMed ID: 31212673
[No Abstract] [Full Text] [Related]
25. Detecting differentially expressed genes by relative entropy.
Yan X; Deng M; Fung WK; Qian M
J Theor Biol; 2005 Jun; 234(3):395-402. PubMed ID: 15784273
[TBL] [Abstract][Full Text] [Related]
26. Rank-based methods as a non-parametric alternative of the T-statistic for the analysis of biological microarray data.
Breitling R; Herzyk P
J Bioinform Comput Biol; 2005 Oct; 3(5):1171-89. PubMed ID: 16278953
[TBL] [Abstract][Full Text] [Related]
27. The Global Error Assessment (GEA) model for the selection of differentially expressed genes in microarray data.
Mansourian R; Mutch DM; Antille N; Aubert J; Fogel P; Le Goff JM; Moulin J; Petrov A; Rytz A; Voegel JJ; Roberts MA
Bioinformatics; 2004 Nov; 20(16):2726-37. PubMed ID: 15145801
[TBL] [Abstract][Full Text] [Related]
28. Selection of differentially expressed genes in microarray data analysis.
Chen JJ; Wang SJ; Tsai CA; Lin CJ
Pharmacogenomics J; 2007 Jun; 7(3):212-20. PubMed ID: 16940966
[TBL] [Abstract][Full Text] [Related]
29. Microarray data analysis: a practical approach for selecting differentially expressed genes.
Mutch DM; Berger A; Mansourian R; Rytz A; Roberts MA
Genome Biol; 2001; 2(12):PREPRINT0009. PubMed ID: 11790248
[TBL] [Abstract][Full Text] [Related]
30. Leveraging two-way probe-level block design for identifying differential gene expression with high-density oligonucleotide arrays.
Barrera L; Benner C; Tao YC; Winzeler E; Zhou Y
BMC Bioinformatics; 2004 Apr; 5():42. PubMed ID: 15099405
[TBL] [Abstract][Full Text] [Related]
31. MOST: detecting cancer differential gene expression.
Lian H
Biostatistics; 2008 Jul; 9(3):411-8. PubMed ID: 18048648
[TBL] [Abstract][Full Text] [Related]
32. A novel significance score for gene selection and ranking.
Xiao Y; Hsiao TH; Suresh U; Chen HI; Wu X; Wolf SE; Chen Y
Bioinformatics; 2014 Mar; 30(6):801-7. PubMed ID: 22321699
[TBL] [Abstract][Full Text] [Related]
33. A generalized likelihood ratio test to identify differentially expressed genes from microarray data.
Wang S; Ethier S
Bioinformatics; 2004 Jan; 20(1):100-4. PubMed ID: 14693815
[TBL] [Abstract][Full Text] [Related]
34. Hierarchical gene selection and genetic fuzzy system for cancer microarray data classification.
Nguyen T; Khosravi A; Creighton D; Nahavandi S
PLoS One; 2015; 10(3):e0120364. PubMed ID: 25823003
[TBL] [Abstract][Full Text] [Related]
35. Consistent Differential Expression Pattern (CDEP) on microarray to identify genes related to metastatic behavior.
Tsoi LC; Qin T; Slate EH; Zheng WJ
BMC Bioinformatics; 2011 Nov; 12():438. PubMed ID: 22078224
[TBL] [Abstract][Full Text] [Related]
36. Identification of biomarkers of adrenocortical carcinoma using genomewide gene expression profiling.
Fernandez-Ranvier GG; Weng J; Yeh RF; Khanafshar E; Suh I; Barker C; Duh QY; Clark OH; Kebebew E
Arch Surg; 2008 Sep; 143(9):841-6; discussion 846. PubMed ID: 18794420
[TBL] [Abstract][Full Text] [Related]
37. Microarray data simulator for improved selection of differentially expressed genes.
Singhal S; Kyvernitis CG; Johnson SW; Kaiser LR; Liebman MN; Albelda SM
Cancer Biol Ther; 2003; 2(4):383-91. PubMed ID: 14508110
[TBL] [Abstract][Full Text] [Related]
38. Tumor classification ranking from microarray data.
Hewett R; Kijsanayothin P
BMC Genomics; 2008 Sep; 9 Suppl 2(Suppl 2):S21. PubMed ID: 18831787
[TBL] [Abstract][Full Text] [Related]
39. SamCluster: an integrated scheme for automatic discovery of sample classes using gene expression profile.
Li W; Fan M; Xiong M
Bioinformatics; 2003 May; 19(7):811-7. PubMed ID: 12724290
[TBL] [Abstract][Full Text] [Related]
40. Reproducibility of differential gene detection across multiple microarray studies.
Vo TM; Phan JH; Huynh KN; Wang MD
Annu Int Conf IEEE Eng Med Biol Soc; 2007; 2007():4231-4. PubMed ID: 18002936
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
