154 related articles for article (PubMed ID: 15130815)
21. Correcting the loss of cell-cycle synchrony in clustering analysis of microarray data using weights.
Duan F; Zhang H
Bioinformatics; 2004 Jul; 20(11):1766-71. PubMed ID: 15166015
[TBL] [Abstract][Full Text] [Related]
22. More robust detection of motifs in coexpressed genes by using phylogenetic information.
Monsieurs P; Thijs G; Fadda AA; De Keersmaecker SC; Vanderleyden J; De Moor B; Marchal K
BMC Bioinformatics; 2006 Mar; 7():160. PubMed ID: 16549017
[TBL] [Abstract][Full Text] [Related]
23. A generic motif discovery algorithm for sequential data.
Jensen KL; Styczynski MP; Rigoutsos I; Stephanopoulos GN
Bioinformatics; 2006 Jan; 22(1):21-8. PubMed ID: 16257985
[TBL] [Abstract][Full Text] [Related]
24. 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]
25. A new algorithm for comparing and visualizing relationships between hierarchical and flat gene expression data clusterings.
Torrente A; Kapushesky M; Brazma A
Bioinformatics; 2005 Nov; 21(21):3993-9. PubMed ID: 16141251
[TBL] [Abstract][Full Text] [Related]
26. Correlation and prediction of gene expression level from amino acid and dipeptide composition of its protein.
Raghava GP; Han JH
BMC Bioinformatics; 2005 Mar; 6():59. PubMed ID: 15773999
[TBL] [Abstract][Full Text] [Related]
27. Conserved network motifs allow protein-protein interaction prediction.
Albert I; Albert R
Bioinformatics; 2004 Dec; 20(18):3346-52. PubMed ID: 15247093
[TBL] [Abstract][Full Text] [Related]
28. A method for clustering gene expression data based on graph structure.
Seno S; Teramoto R; Takenaka Y; Matsuda H
Genome Inform; 2004; 15(2):151-60. PubMed ID: 15706501
[TBL] [Abstract][Full Text] [Related]
29. WebMOTIFS: automated discovery, filtering and scoring of DNA sequence motifs using multiple programs and Bayesian approaches.
Romer KA; Kayombya GR; Fraenkel E
Nucleic Acids Res; 2007 Jul; 35(Web Server issue):W217-20. PubMed ID: 17584794
[TBL] [Abstract][Full Text] [Related]
30. Background rareness-based iterative multiple sequence alignment algorithm for regulatory element detection.
Narasimhan C; LoCascio P; Uberbacher E
Bioinformatics; 2003 Oct; 19(15):1952-63. PubMed ID: 14555629
[TBL] [Abstract][Full Text] [Related]
31. Knowledge guided analysis of microarray data.
Fang Z; Yang J; Li Y; Luo Q; Liu L
J Biomed Inform; 2006 Aug; 39(4):401-11. PubMed ID: 16214421
[TBL] [Abstract][Full Text] [Related]
32. How does gene expression clustering work?
D'haeseleer P
Nat Biotechnol; 2005 Dec; 23(12):1499-501. PubMed ID: 16333293
[TBL] [Abstract][Full Text] [Related]
33. A new clustering method for microarray data analysis.
Zhang L; Zhu S
Proc IEEE Comput Soc Bioinform Conf; 2002; 1():268-75. PubMed ID: 15838143
[TBL] [Abstract][Full Text] [Related]
34. Graph-based consensus clustering for class discovery from gene expression data.
Yu Z; Wong HS; Wang H
Bioinformatics; 2007 Nov; 23(21):2888-96. PubMed ID: 17872912
[TBL] [Abstract][Full Text] [Related]
35. Application of Multi-SOM clustering approach to macrophage gene expression analysis.
Ghouila A; Yahia SB; Malouche D; Jmel H; Laouini D; Guerfali FZ; Abdelhak S
Infect Genet Evol; 2009 May; 9(3):328-36. PubMed ID: 18992849
[TBL] [Abstract][Full Text] [Related]
36. Modularity of the transcriptional response of protein complexes in yeast.
Simonis N; Gonze D; Orsi C; van Helden J; Wodak SJ
J Mol Biol; 2006 Oct; 363(2):589-610. PubMed ID: 16973176
[TBL] [Abstract][Full Text] [Related]
37. Efficiently finding regulatory elements using correlation with gene expression.
Bannai H; Inenaga S; Shinohara A; Takeda M; Miyano S
J Bioinform Comput Biol; 2004 Jun; 2(2):273-88. PubMed ID: 15297982
[TBL] [Abstract][Full Text] [Related]
38. An efficient, versatile and scalable pattern growth approach to mine frequent patterns in unaligned protein sequences.
Ye K; Kosters WA; Ijzerman AP
Bioinformatics; 2007 Mar; 23(6):687-93. PubMed ID: 17237070
[TBL] [Abstract][Full Text] [Related]
39. Microarray data clustering based on temporal variation: FCV with TSD preclustering.
Möller-Levet CS; Cho KH; Wolkenhauer O
Appl Bioinformatics; 2003; 2(1):35-45. PubMed ID: 15130832
[TBL] [Abstract][Full Text] [Related]
40. Bayesian detection of periodic mRNA time profiles without use of training examples.
Andersson CR; Isaksson A; Gustafsson MG
BMC Bioinformatics; 2006 Feb; 7():63. PubMed ID: 16469110
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]