124 related articles for article (PubMed ID: 22462105)
1. Biclustering of gene expression data by an extension of mixtures of factor analyzers.
Martella F; Alfò M; Vichi M
Int J Biostat; 2008; 4(1):Article 3. PubMed ID: 22462105
[TBL] [Abstract][Full Text] [Related]
2. Mixtures of common t-factor analyzers for clustering high-dimensional microarray data.
Baek J; McLachlan GJ
Bioinformatics; 2011 May; 27(9):1269-76. PubMed ID: 21372081
[TBL] [Abstract][Full Text] [Related]
3. Discovering biclusters in gene expression data based on high-dimensional linear geometries.
Gan X; Liew AW; Yan H
BMC Bioinformatics; 2008 Apr; 9():209. PubMed ID: 18433477
[TBL] [Abstract][Full Text] [Related]
4. Mixture modelling of gene expression data from microarray experiments.
Ghosh D; Chinnaiyan AM
Bioinformatics; 2002 Feb; 18(2):275-86. PubMed ID: 11847075
[TBL] [Abstract][Full Text] [Related]
5. A mixture model with random-effects components for clustering correlated gene-expression profiles.
Ng SK; McLachlan GJ; Wang K; Ben-Tovim Jones L; Ng SW
Bioinformatics; 2006 Jul; 22(14):1745-52. PubMed ID: 16675467
[TBL] [Abstract][Full Text] [Related]
6. Fast ML estimation for the mixture of factor analyzers via an ECM algorithm.
Zhao JH; Yu PL
IEEE Trans Neural Netw; 2008 Nov; 19(11):1956-61. PubMed ID: 19000964
[TBL] [Abstract][Full Text] [Related]
7. Two-way learning with one-way supervision for gene expression data.
Wong MH; Mutch DM; McNicholas PD
BMC Bioinformatics; 2017 Mar; 18(1):150. PubMed ID: 28257645
[TBL] [Abstract][Full Text] [Related]
8. Possibilistic approach for biclustering microarray data.
Cano C; Adarve L; López J; Blanco A
Comput Biol Med; 2007 Oct; 37(10):1426-36. PubMed ID: 17346690
[TBL] [Abstract][Full Text] [Related]
9. Biclustering algorithms for biological data analysis: a survey.
Madeira SC; Oliveira AL
IEEE/ACM Trans Comput Biol Bioinform; 2004; 1(1):24-45. PubMed ID: 17048406
[TBL] [Abstract][Full Text] [Related]
10. Clustering expressed genes on the basis of their association with a quantitative phenotype.
Jia Z; Xu S
Genet Res; 2005 Dec; 86(3):193-207. PubMed ID: 16454859
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. A novel coherence measure for discovering scaling biclusters from gene expression data.
Mukhopadhyay A; Maulik U; Bandyopadhyay S
J Bioinform Comput Biol; 2009 Oct; 7(5):853-68. PubMed ID: 19785049
[TBL] [Abstract][Full Text] [Related]
13. Identification of bicluster regions in a binary matrix and its applications.
Chen HC; Zou W; Tien YJ; Chen JJ
PLoS One; 2013; 8(8):e71680. PubMed ID: 23940779
[TBL] [Abstract][Full Text] [Related]
14. Convex biclustering.
Chi EC; Allen GI; Baraniuk RG
Biometrics; 2017 Mar; 73(1):10-19. PubMed ID: 27163413
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. A probabilistic coevolutionary biclustering algorithm for discovering coherent patterns in gene expression dataset.
Joung JG; Kim SJ; Shin SY; Zhang BT
BMC Bioinformatics; 2012; 13 Suppl 17(Suppl 17):S12. PubMed ID: 23282075
[TBL] [Abstract][Full Text] [Related]
17. Model-based approaches to synthesize microarray data: a unifying review using mixture of SEMs.
Martella F; Vermunt JK
Stat Methods Med Res; 2013 Dec; 22(6):567-82. PubMed ID: 21948997
[TBL] [Abstract][Full Text] [Related]
18. Recent patents on biclustering algorithms for gene expression data analysis.
Liew AW; Law NF; Yan H
Recent Pat DNA Gene Seq; 2011 Aug; 5(2):117-25. PubMed ID: 21529337
[TBL] [Abstract][Full Text] [Related]
19. CIT: identification of differentially expressed clusters of genes from microarray data.
Rhodes DR; Miller JC; Haab BB; Furge KA
Bioinformatics; 2002 Jan; 18(1):205-6. PubMed ID: 11836234
[TBL] [Abstract][Full Text] [Related]
20. Decomposing gene expression into cellular processes.
Segal E; Battle A; Koller D
Pac Symp Biocomput; 2003; ():89-100. PubMed ID: 12603020
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
