91 related articles for article (PubMed ID: 27538512)
1. Reproducible detection of disease-associated markers from gene expression data.
Omae K; Komori O; Eguchi S
BMC Med Genomics; 2016 Aug; 9(1):53. PubMed ID: 27538512
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Stability of gene rankings from RNAi screens.
Siebourg J; Merdes G; Misselwitz B; Hardt WD; Beerenwinkel N
Bioinformatics; 2012 Jun; 28(12):1612-8. PubMed ID: 22513992
[TBL] [Abstract][Full Text] [Related]
4. Unite and conquer: univariate and multivariate approaches for finding differentially expressed gene sets.
Glazko GV; Emmert-Streib F
Bioinformatics; 2009 Sep; 25(18):2348-54. PubMed ID: 19574285
[TBL] [Abstract][Full Text] [Related]
5. Robust detection of periodic time series measured from biological systems.
Ahdesmäki M; Lähdesmäki H; Pearson R; Huttunen H; Yli-Harja O
BMC Bioinformatics; 2005 May; 6():117. PubMed ID: 15892890
[TBL] [Abstract][Full Text] [Related]
6. Ranking analysis for identifying differentially expressed genes.
Qi Y; Sun H; Sun Q; Pan L
Genomics; 2011 May; 97(5):326-9. PubMed ID: 21402142
[TBL] [Abstract][Full Text] [Related]
7. The effects of normalization on the correlation structure of microarray data.
Qiu X; Brooks AI; Klebanov L; Yakovlev N
BMC Bioinformatics; 2005 May; 6():120. PubMed ID: 15904488
[TBL] [Abstract][Full Text] [Related]
8. A note on using permutation-based false discovery rate estimates to compare different analysis methods for microarray data.
Xie Y; Pan W; Khodursky AB
Bioinformatics; 2005 Dec; 21(23):4280-8. PubMed ID: 16188930
[TBL] [Abstract][Full Text] [Related]
9. Detecting discordance enrichment among a series of two-sample genome-wide expression data sets.
Lai Y; Zhang F; Nayak TK; Modarres R; Lee NH; McCaffrey TA
BMC Genomics; 2017 Jan; 18(Suppl 1):1050. PubMed ID: 28198679
[TBL] [Abstract][Full Text] [Related]
10. Gene and sample selection using T-score with sample selection.
Mundra PA; Rajapakse JC
J Biomed Inform; 2016 Feb; 59():31-41. PubMed ID: 26556644
[TBL] [Abstract][Full Text] [Related]
11. Gene ranking and biomarker discovery under correlation.
Zuber V; Strimmer K
Bioinformatics; 2009 Oct; 25(20):2700-7. PubMed ID: 19648135
[TBL] [Abstract][Full Text] [Related]
12. Construction of null statistics in permutation-based multiple testing for multi-factorial microarray experiments.
Gao X
Bioinformatics; 2006 Jun; 22(12):1486-94. PubMed ID: 16574697
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. 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]
15. Using Linkage Analysis to Detect Gene-Gene Interactions. 2. Improved Reliability and Extension to More-Complex Models.
Hodge SE; Hager VR; Greenberg DA
PLoS One; 2016; 11(1):e0146240. PubMed ID: 26752287
[TBL] [Abstract][Full Text] [Related]
16. Uniform approximation is more appropriate for Wilcoxon Rank-Sum Test in gene set analysis.
Fang Z; Du R; Cui X
PLoS One; 2012; 7(2):e31505. PubMed ID: 22347488
[TBL] [Abstract][Full Text] [Related]
17. Statistical methods for ranking differentially expressed genes.
Broberg P
Genome Biol; 2003; 4(6):R41. PubMed ID: 12801415
[TBL] [Abstract][Full Text] [Related]
18. R2KS: a novel measure for comparing gene expression based on ranked gene lists.
Ni S; Vingron M
J Comput Biol; 2012 Jun; 19(6):766-75. PubMed ID: 22697246
[TBL] [Abstract][Full Text] [Related]
19. Probability fold change: a robust computational approach for identifying differentially expressed gene lists.
Deng X; Xu J; Hui J; Wang C
Comput Methods Programs Biomed; 2009 Feb; 93(2):124-39. PubMed ID: 18842321
[TBL] [Abstract][Full Text] [Related]
20. Detection of differentially expressed gene sets in a partially paired microarray data set.
Lim J; Kim J; Kim SC; Yu D; Kim K; Kim BS
Stat Appl Genet Mol Biol; 2012 Feb; 11(3):Article 5. PubMed ID: 22499704
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]