119 related articles for article (PubMed ID: 20055994)
1. Evaluation of fecal mRNA reproducibility via a marginal transformed mixture modeling approach.
George NI; Lupton JR; Turner ND; Chapkin RS; Davidson LA; Wang N
BMC Bioinformatics; 2010 Jan; 11():13. PubMed ID: 20055994
[TBL] [Abstract][Full Text] [Related]
2. Segmentation and intensity estimation of microarray images using a gamma-t mixture model.
Baek J; Son YS; McLachlan GJ
Bioinformatics; 2007 Feb; 23(4):458-65. PubMed ID: 17166856
[TBL] [Abstract][Full Text] [Related]
3. An efficient concordant integrative analysis of multiple large-scale two-sample expression data sets.
Lai Y; Zhang F; Nayak TK; Modarres R; Lee NH; McCaffrey TA
Bioinformatics; 2017 Dec; 33(23):3852-3860. PubMed ID: 28174897
[TBL] [Abstract][Full Text] [Related]
4. Evaluating concentration estimation errors in ELISA microarray experiments.
Daly DS; White AM; Varnum SM; Anderson KK; Zangar RC
BMC Bioinformatics; 2005 Jan; 6():17. PubMed ID: 15673468
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. The latent process decomposition of cDNA microarray data sets.
Rogers S; Girolami M; Campbell C; Breitling R
IEEE/ACM Trans Comput Biol Bioinform; 2005; 2(2):143-56. PubMed ID: 17044179
[TBL] [Abstract][Full Text] [Related]
7. Evaluation of gene importance in microarray data based upon probability of selection.
Fu LM; Fu-Liu CS
BMC Bioinformatics; 2005 Mar; 6():67. PubMed ID: 15784140
[TBL] [Abstract][Full Text] [Related]
8. Identifying differentially expressed genes in meta-analysis via Bayesian model-based clustering.
Jung YY; Oh MS; Shin DW; Kang SH; Oh HS
Biom J; 2006 Jun; 48(3):435-50. PubMed ID: 16845907
[TBL] [Abstract][Full Text] [Related]
9. Assessment of reliability of microarray data and estimation of signal thresholds using mixture modeling.
Asyali MH; Shoukri MM; Demirkaya O; Khabar KS
Nucleic Acids Res; 2004; 32(8):2323-35. PubMed ID: 15113873
[TBL] [Abstract][Full Text] [Related]
10. A mixture model-based approach to the clustering of microarray expression data.
McLachlan GJ; Bean RW; Peel D
Bioinformatics; 2002 Mar; 18(3):413-22. PubMed ID: 11934740
[TBL] [Abstract][Full Text] [Related]
11. Including probe-level measurement error in robust mixture clustering of replicated microarray gene expression.
Liu X; Rattray M
Stat Appl Genet Mol Biol; 2010; 9():Article42. PubMed ID: 21194414
[TBL] [Abstract][Full Text] [Related]
12. Bayesian mixture model based clustering of replicated microarray data.
Medvedovic M; Yeung KY; Bumgarner RE
Bioinformatics; 2004 May; 20(8):1222-32. PubMed ID: 14871871
[TBL] [Abstract][Full Text] [Related]
13. Statistical analysis of high-density oligonucleotide arrays: a multiplicative noise model.
Sásik R; Calvo E; Corbeil J
Bioinformatics; 2002 Dec; 18(12):1633-40. PubMed ID: 12490448
[TBL] [Abstract][Full Text] [Related]
14. Prognostic meta-signature of breast cancer developed by two-stage mixture modeling of microarray data.
Shen R; Ghosh D; Chinnaiyan AM
BMC Genomics; 2004 Dec; 5(1):94. PubMed ID: 15598354
[TBL] [Abstract][Full Text] [Related]
15. Gaussian mixture clustering and imputation of microarray data.
Ouyang M; Welsh WJ; Georgopoulos P
Bioinformatics; 2004 Apr; 20(6):917-23. PubMed ID: 14751970
[TBL] [Abstract][Full Text] [Related]
16. Spot intensity ratio statistics in two-channel microarray experiments.
Park T; Kim K; Yi SG; Kim JH; Lee YS; Lee S
J Bioinform Comput Biol; 2007 Aug; 5(4):865-73. PubMed ID: 17787060
[TBL] [Abstract][Full Text] [Related]
17. The intraclass correlation coefficient applied for evaluation of data correction, labeling methods, and rectal biopsy sampling in DNA microarray experiments.
Pellis L; Franssen-van Hal NL; Burema J; Keijer J
Physiol Genomics; 2003 Dec; 16(1):99-106. PubMed ID: 14570982
[TBL] [Abstract][Full Text] [Related]
18. Model-based clustering of microarray expression data via latent Gaussian mixture models.
McNicholas PD; Murphy TB
Bioinformatics; 2010 Nov; 26(21):2705-12. PubMed ID: 20802251
[TBL] [Abstract][Full Text] [Related]
19. Probe-level linear model fitting and mixture modeling results in high accuracy detection of differential gene expression.
Lemieux S
BMC Bioinformatics; 2006 Aug; 7():391. PubMed ID: 16934150
[TBL] [Abstract][Full Text] [Related]
20. Multivariate hierarchical Bayesian model for differential gene expression analysis in microarray experiments.
Zhao H; Chan KL; Cheng LM; Yan H
BMC Bioinformatics; 2008; 9 Suppl 1(Suppl 1):S9. PubMed ID: 18315862
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
