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.
205 related articles for article (PubMed ID: 19228411)
1. RankAggreg, an R package for weighted rank aggregation. Pihur V; Datta S; Datta S BMC Bioinformatics; 2009 Feb; 10():62. PubMed ID: 19228411 [TBL] [Abstract][Full Text] [Related]
2. Weighted rank aggregation of cluster validation measures: a Monte Carlo cross-entropy approach. Pihur V; Datta S; Datta S Bioinformatics; 2007 Jul; 23(13):1607-15. PubMed ID: 17483500 [TBL] [Abstract][Full Text] [Related]
3. WGCNA: an R package for weighted correlation network analysis. Langfelder P; Horvath S BMC Bioinformatics; 2008 Dec; 9():559. PubMed ID: 19114008 [TBL] [Abstract][Full Text] [Related]
4. Consensus framework for exploring microarray data using multiple clustering methods. Laderas T; McWeeney S OMICS; 2007; 11(1):116-28. PubMed ID: 17411399 [TBL] [Abstract][Full Text] [Related]
5. Combining results of microarray experiments: a rank aggregation approach. DeConde RP; Hawley S; Falcon S; Clegg N; Knudsen B; Etzioni R Stat Appl Genet Mol Biol; 2006; 5():Article15. PubMed ID: 17049026 [TBL] [Abstract][Full Text] [Related]
6. Cross-species and cross-platform gene expression studies with the Bioconductor-compliant R package 'annotationTools'. Kuhn A; Luthi-Carter R; Delorenzi M BMC Bioinformatics; 2008 Jan; 9():26. PubMed ID: 18201381 [TBL] [Abstract][Full Text] [Related]
7. Pvclust: an R package for assessing the uncertainty in hierarchical clustering. Suzuki R; Shimodaira H Bioinformatics; 2006 Jun; 22(12):1540-2. PubMed ID: 16595560 [TBL] [Abstract][Full Text] [Related]
8. Preprocessing of gene expression data by optimally robust estimators. Kohl M; Deigner HP BMC Bioinformatics; 2010 Nov; 11():583. PubMed ID: 21118506 [TBL] [Abstract][Full Text] [Related]
9. sdef: an R package to synthesize lists of significant features in related experiments. Blangiardo M; Cassese A; Richardson S BMC Bioinformatics; 2010 May; 11():270. PubMed ID: 20487547 [TBL] [Abstract][Full Text] [Related]
10. CRCView: a web server for analyzing and visualizing microarray gene expression data using model-based clustering. Xiang Z; Qin ZS; He Y Bioinformatics; 2007 Jul; 23(14):1843-5. PubMed ID: 17485426 [TBL] [Abstract][Full Text] [Related]
11. Inferential clustering approach for microarray experiments with replicated measurements. Salicrú M; Vives S; Zheng T IEEE/ACM Trans Comput Biol Bioinform; 2009; 6(4):594-604. PubMed ID: 19875858 [TBL] [Abstract][Full Text] [Related]
12. An adaptive meta-clustering approach: combining the information from different clustering results. Zeng Y; Tang J; Garcia-Frias J; Gao GR Proc IEEE Comput Soc Bioinform Conf; 2002; 1():276-87. PubMed ID: 15838144 [TBL] [Abstract][Full Text] [Related]
13. metahdep: meta-analysis of hierarchically dependent gene expression studies. Stevens JR; Nicholas G Bioinformatics; 2009 Oct; 25(19):2619-20. PubMed ID: 19648140 [TBL] [Abstract][Full Text] [Related]
14. An R package suite for microarray meta-analysis in quality control, differentially expressed gene analysis and pathway enrichment detection. Wang X; Kang DD; Shen K; Song C; Lu S; Chang LC; Liao SG; Huo Z; Tang S; Ding Y; Kaminski N; Sibille E; Lin Y; Li J; Tseng GC Bioinformatics; 2012 Oct; 28(19):2534-6. PubMed ID: 22863766 [TBL] [Abstract][Full Text] [Related]
16. ISACGH: a web-based environment for the analysis of Array CGH and gene expression which includes functional profiling. Conde L; Montaner D; Burguet-Castell J; Tárraga J; Medina I; Al-Shahrour F; Dopazo J Nucleic Acids Res; 2007 Jul; 35(Web Server issue):W81-5. PubMed ID: 17468499 [TBL] [Abstract][Full Text] [Related]
17. Integrative Array Analyzer: a software package for analysis of cross-platform and cross-species microarray data. Pan F; Kamath K; Zhang K; Pulapura S; Achar A; Nunez-Iglesias J; Huang Y; Yan X; Han J; Hu H; Xu M; Hu J; Zhou XJ Bioinformatics; 2006 Jul; 22(13):1665-7. PubMed ID: 16672260 [TBL] [Abstract][Full Text] [Related]
18. massiR: a method for predicting the sex of samples in gene expression microarray datasets. Buckberry S; Bent SJ; Bianco-Miotto T; Roberts CT Bioinformatics; 2014 Jul; 30(14):2084-5. PubMed ID: 24659105 [TBL] [Abstract][Full Text] [Related]
19. NIFTI: an evolutionary approach for finding number of clusters in microarray data. Jonnalagadda S; Srinivasan R BMC Bioinformatics; 2009 Jan; 10():40. PubMed ID: 19178750 [TBL] [Abstract][Full Text] [Related]
20. Classification and Clustering on Microarray Data for Gene Functional Prediction Using R. López-Kleine L; Montaño R; Torres-Avilés F Methods Mol Biol; 2016; 1375():41-54. PubMed ID: 25762300 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]