These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
141 related articles for article (PubMed ID: 25910040)
1. Robust modeling of differential gene expression data using normal/independent distributions: a Bayesian approach. Ganjali M; Baghfalaki T; Berridge D PLoS One; 2015; 10(4):e0123791. PubMed ID: 25910040 [TBL] [Abstract][Full Text] [Related]
2. Robust joint modeling of longitudinal measurements and time to event data using normal/independent distributions: a Bayesian approach. Baghfalaki T; Ganjali M; Berridge D Biom J; 2013 Nov; 55(6):844-65. PubMed ID: 23907983 [TBL] [Abstract][Full Text] [Related]
3. Bayesian joint modeling of longitudinal measurements and time-to-event data using robust distributions. Baghfalaki T; Ganjali M; Hashemi R J Biopharm Stat; 2014; 24(4):834-55. PubMed ID: 24697192 [TBL] [Abstract][Full Text] [Related]
4. 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]
5. Bayesian robust inference for differential gene expression in microarrays with multiple samples. Gottardo R; Raftery AE; Yeung KY; Bumgarner RE Biometrics; 2006 Mar; 62(1):10-8. PubMed ID: 16542223 [TBL] [Abstract][Full Text] [Related]
6. Bayesian analysis for nonlinear mixed-effects models under heavy-tailed distributions. De la Cruz R Pharm Stat; 2014; 13(1):81-93. PubMed ID: 24106083 [TBL] [Abstract][Full Text] [Related]
7. Robust Bayesian growth curve modelling using conditional medians. Tong X; Zhang T; Zhou J Br J Math Stat Psychol; 2021 May; 74(2):286-312. PubMed ID: 32926414 [TBL] [Abstract][Full Text] [Related]
8. Weighted lasso in graphical Gaussian modeling for large gene network estimation based on microarray data. Shimamura T; Imoto S; Yamaguchi R; Miyano S Genome Inform; 2007; 19():142-53. PubMed ID: 18546512 [TBL] [Abstract][Full Text] [Related]
9. 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]
10. Mixture models for single-cell assays with applications to vaccine studies. Finak G; McDavid A; Chattopadhyay P; Dominguez M; De Rosa S; Roederer M; Gottardo R Biostatistics; 2014 Jan; 15(1):87-101. PubMed ID: 23887981 [TBL] [Abstract][Full Text] [Related]
11. A spline function approach for detecting differentially expressed genes in microarray data analysis. He W Bioinformatics; 2004 Nov; 20(17):2954-63. PubMed ID: 15180936 [TBL] [Abstract][Full Text] [Related]
12. Biomarker identification and cancer classification based on microarray data using Laplace naive Bayes model with mean shrinkage. Wu MY; Dai DQ; Shi Y; Yan H; Zhang XF IEEE/ACM Trans Comput Biol Bioinform; 2012; 9(6):1649-62. PubMed ID: 22868679 [TBL] [Abstract][Full Text] [Related]
13. β-empirical Bayes inference and model diagnosis of microarray data. Mollah MM; Mollah MN; Kishino H BMC Bioinformatics; 2012 Jun; 13():135. PubMed ID: 22713095 [TBL] [Abstract][Full Text] [Related]
14. A simple implementation of a normal mixture approach to differential gene expression in multiclass microarrays. McLachlan GJ; Bean RW; Jones LB Bioinformatics; 2006 Jul; 22(13):1608-15. PubMed ID: 16632494 [TBL] [Abstract][Full Text] [Related]
15. A robust Bayesian two-sample test for detecting intervals of differential gene expression in microarray time series. Stegle O; Denby KJ; Cooke EJ; Wild DL; Ghahramani Z; Borgwardt KM J Comput Biol; 2010 Mar; 17(3):355-67. PubMed ID: 20377450 [TBL] [Abstract][Full Text] [Related]
16. Bayesian hierarchical error model for analysis of gene expression data. Cho H; Lee JK Bioinformatics; 2004 Sep; 20(13):2016-25. PubMed ID: 15044230 [TBL] [Abstract][Full Text] [Related]