90 related articles for article (PubMed ID: 30236056)
1. Detecting differentially expressed genes for syndromes by considering change in mean and dispersion simultaneously.
Ma C; Ji T
BMC Bioinformatics; 2018 Sep; 19(1):330. PubMed ID: 30236056
[TBL] [Abstract][Full Text] [Related]
2. A full Bayesian hierarchical mixture model for the variance of gene differential expression.
Manda SO; Walls RE; Gilthorpe MS
BMC Bioinformatics; 2007 Apr; 8():124. PubMed ID: 17439644
[TBL] [Abstract][Full Text] [Related]
3. A powerful method for detecting differentially expressed genes from GeneChip arrays that does not require replicates.
Hein AM; Richardson S
BMC Bioinformatics; 2006 Jul; 7():353. PubMed ID: 16857053
[TBL] [Abstract][Full Text] [Related]
4. Empirical bayes analysis of sequencing-based transcriptional profiling without replicates.
Wu Z; Jenkins BD; Rynearson TA; Dyhrman ST; Saito MA; Mercier M; Whitney LP
BMC Bioinformatics; 2010 Nov; 11():564. PubMed ID: 21080965
[TBL] [Abstract][Full Text] [Related]
5. Estimating effect sizes of differentially expressed genes for power and sample-size assessments in microarray experiments.
Matsui S; Noma H
Biometrics; 2011 Dec; 67(4):1225-35. PubMed ID: 21627629
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. An empirical Bayes method for robust variance estimation in detecting DEGs using microarray data.
You N; Wang X
J Bioinform Comput Biol; 2017 Oct; 15(5):1750020. PubMed ID: 28893113
[TBL] [Abstract][Full Text] [Related]
8. Detection of high variability in gene expression from single-cell RNA-seq profiling.
Chen HI; Jin Y; Huang Y; Chen Y
BMC Genomics; 2016 Aug; 17 Suppl 7(Suppl 7):508. PubMed ID: 27556924
[TBL] [Abstract][Full Text] [Related]
9. Variance component estimation for mixed model analysis of cDNA microarray data.
Sarholz B; Piepho HP
Biom J; 2008 Dec; 50(6):927-39. PubMed ID: 19035549
[TBL] [Abstract][Full Text] [Related]
10. Empirical Bayes screening of many p-values with applications to microarray studies.
Datta S; Datta S
Bioinformatics; 2005 May; 21(9):1987-94. PubMed ID: 15691856
[TBL] [Abstract][Full Text] [Related]
11. Statistical analysis of microarray data: a Bayesian approach.
Gottardo R; Pannucci JA; Kuske CR; Brettin T
Biostatistics; 2003 Oct; 4(4):597-620. PubMed ID: 14557114
[TBL] [Abstract][Full Text] [Related]
12. Statistical detection of differentially expressed genes based on RNA-seq: from biological to phylogenetic replicates.
Gu X
Brief Bioinform; 2016 Mar; 17(2):243-8. PubMed ID: 26108230
[TBL] [Abstract][Full Text] [Related]
13. A permutation two one-sided tests procedure to detect minimal fold changes of gene expression levels.
Liu JP; Liao CT; Chiu ST; Dai JY
J Biopharm Stat; 2008; 18(5):808-26. PubMed ID: 18781518
[TBL] [Abstract][Full Text] [Related]
14. Detecting differential expression in RNA-sequence data using quasi-likelihood with shrunken dispersion estimates.
Lund SP; Nettleton D; McCarthy DJ; Smyth GK
Stat Appl Genet Mol Biol; 2012 Oct; 11(5):. PubMed ID: 23104842
[TBL] [Abstract][Full Text] [Related]
15. Identification of differentially expressed gene categories in microarray studies using nonparametric multivariate analysis.
Nettleton D; Recknor J; Reecy JM
Bioinformatics; 2008 Jan; 24(2):192-201. PubMed ID: 18042553
[TBL] [Abstract][Full Text] [Related]
16. Testing differential expression in nonoverlapping gene pairs: a new perspective for the empirical Bayes method.
Klebanov L; Qiu X; Yakovlev A
J Bioinform Comput Biol; 2008 Apr; 6(2):301-16. PubMed ID: 18464324
[TBL] [Abstract][Full Text] [Related]
17. Empirical Bayes estimation of gene-specific effects in micro-array research.
Edwards JW; Page GP; Gadbury G; Heo M; Kayo T; Weindruch R; Allison DB
Funct Integr Genomics; 2005 Jan; 5(1):32-9. PubMed ID: 15455262
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. Improving identification of differentially expressed genes in microarray studies using information from public databases.
Kim RD; Park PJ
Genome Biol; 2004; 5(9):R70. PubMed ID: 15345054
[TBL] [Abstract][Full Text] [Related]
20. Empirical Bayes accomodation of batch-effects in microarray data using identical replicate reference samples: application to RNA expression profiling of blood from Duchenne muscular dystrophy patients.
Walker WL; Liao IH; Gilbert DL; Wong B; Pollard KS; McCulloch CE; Lit L; Sharp FR
BMC Genomics; 2008 Oct; 9():494. PubMed ID: 18937867
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]