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.
321 related articles for article (PubMed ID: 15239833)
1. From co-expression to co-regulation: how many microarray experiments do we need? Yeung KY; Medvedovic M; Bumgarner RE Genome Biol; 2004; 5(7):R48. PubMed ID: 15239833 [TBL] [Abstract][Full Text] [Related]
2. Influence of microarrays experiments missing values on the stability of gene groups by hierarchical clustering. de Brevern AG; Hazout S; Malpertuy A BMC Bioinformatics; 2004 Aug; 5():114. PubMed ID: 15324460 [TBL] [Abstract][Full Text] [Related]
4. Cluster stability scores for microarray data in cancer studies. Smolkin M; Ghosh D BMC Bioinformatics; 2003 Sep; 4():36. PubMed ID: 12959646 [TBL] [Abstract][Full Text] [Related]
5. The advantage of functional prediction based on clustering of yeast genes and its correlation with non-sequence based classifications. Bilu Y; Linial M J Comput Biol; 2002; 9(2):193-210. PubMed ID: 12015877 [TBL] [Abstract][Full Text] [Related]
6. Integrating genomic data to predict transcription factor binding. Holloway DT; Kon M; DeLisi C Genome Inform; 2005; 16(1):83-94. PubMed ID: 16362910 [TBL] [Abstract][Full Text] [Related]
7. DNA microarray data and contextual analysis of correlation graphs. Rougemont J; Hingamp P BMC Bioinformatics; 2003 Apr; 4():15. PubMed ID: 12720549 [TBL] [Abstract][Full Text] [Related]
8. MiCoViTo: a tool for gene-centric comparison and visualization of yeast transcriptome states. Lelandais G; Marc P; Vincens P; Jacq C; Vialette S BMC Bioinformatics; 2004 Mar; 5():20. PubMed ID: 15053844 [TBL] [Abstract][Full Text] [Related]
9. Combined analysis of expression data and transcription factor binding sites in the yeast genome. Nagaraj VH; O'Flanagan RA; Bruning AR; Mathias JR; Vershon AK; Sengupta AM BMC Genomics; 2004 Aug; 5(1):59. PubMed ID: 15331021 [TBL] [Abstract][Full Text] [Related]
10. Microarray data mining using landmark gene-guided clustering. Chopra P; Kang J; Yang J; Cho H; Kim HS; Lee MG BMC Bioinformatics; 2008 Feb; 9():92. PubMed ID: 18267003 [TBL] [Abstract][Full Text] [Related]
11. Integration of known transcription factor binding site information and gene expression data to advance from co-expression to co-regulation. Clements M; van Someren EP; Knijnenburg TA; Reinders MJ Genomics Proteomics Bioinformatics; 2007 May; 5(2):86-101. PubMed ID: 17893074 [TBL] [Abstract][Full Text] [Related]
12. Comparative analysis of missing value imputation methods to improve clustering and interpretation of microarray experiments. Celton M; Malpertuy A; Lelandais G; de Brevern AG BMC Genomics; 2010 Jan; 11():15. PubMed ID: 20056002 [TBL] [Abstract][Full Text] [Related]
13. Judging the quality of gene expression-based clustering methods using gene annotation. Gibbons FD; Roth FP Genome Res; 2002 Oct; 12(10):1574-81. PubMed ID: 12368250 [TBL] [Abstract][Full Text] [Related]
14. Comparative analysis of multiple genome-scale data sets. Werner-Washburne M; Wylie B; Boyack K; Fuge E; Galbraith J; Weber J; Davidson G Genome Res; 2002 Oct; 12(10):1564-73. PubMed ID: 12368249 [TBL] [Abstract][Full Text] [Related]
15. Incorporating biological knowledge into distance-based clustering analysis of microarray gene expression data. Huang D; Pan W Bioinformatics; 2006 May; 22(10):1259-68. PubMed ID: 16500932 [TBL] [Abstract][Full Text] [Related]
16. Mass distributed clustering: a new algorithm for repeated measurements in gene expression data. Matsumoto S; Aisaki K; Kanno J Genome Inform; 2005; 16(2):183-94. PubMed ID: 16901101 [TBL] [Abstract][Full Text] [Related]
17. Enriching for direct regulatory targets in perturbed gene-expression profiles. Tringe SG; Wagner A; Ruby SW Genome Biol; 2004; 5(4):R29. PubMed ID: 15059262 [TBL] [Abstract][Full Text] [Related]
18. Detecting biological associations between genes based on the theory of phase synchronization. Kim CS; Riikonen P; Salakoski T Biosystems; 2008 May; 92(2):99-113. PubMed ID: 18289772 [TBL] [Abstract][Full Text] [Related]
19. Quantitative inference of dynamic regulatory pathways via microarray data. Chang WC; Li CW; Chen BS BMC Bioinformatics; 2005 Mar; 6():44. PubMed ID: 15748298 [TBL] [Abstract][Full Text] [Related]