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Journal Abstract Search
262 related items for PubMed ID: 15838143
41. Combining pattern discovery and discriminant analysis to predict gene co-regulation. Simonis N, Wodak SJ, Cohen GN, van Helden J. Bioinformatics; 2004 Oct 12; 20(15):2370-9. PubMed ID: 15073004 [Abstract] [Full Text] [Related]
42. Identification and quantification of disease-related gene clusters. Firneisz G, Zehavi I, Vermes C, Hanyecz A, Frieman JA, Glant TT. Bioinformatics; 2003 Sep 22; 19(14):1781-6. PubMed ID: 14512349 [Abstract] [Full Text] [Related]
43. Clustering of diverse genomic data using information fusion. Kasturi J, Acharya R. Bioinformatics; 2005 Feb 15; 21(4):423-9. PubMed ID: 15608052 [Abstract] [Full Text] [Related]
44. 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 01; 21(21):3993-9. PubMed ID: 16141251 [Abstract] [Full Text] [Related]
45. Exact and heuristic algorithms for weighted cluster editing. Rahmann S, Wittkop T, Baumbach J, Martin M, Truss A, Böcker S. Comput Syst Bioinformatics Conf; 2007 Nov 01; 6():391-401. PubMed ID: 17951842 [Abstract] [Full Text] [Related]
46. A method for clustering gene expression data based on graph structure. Seno S, Teramoto R, Takenaka Y, Matsuda H. Genome Inform; 2004 Nov 01; 15(2):151-60. PubMed ID: 15706501 [Abstract] [Full Text] [Related]
47. BARTMAP: a viable structure for biclustering. Xu R, Wunsch Ii DC. Neural Netw; 2011 Sep 01; 24(7):709-16. PubMed ID: 21493039 [Abstract] [Full Text] [Related]
48. A multi-stage approach to clustering and imputation of gene expression profiles. Wong DS, Wong FK, Wood GR. Bioinformatics; 2007 Apr 15; 23(8):998-1005. PubMed ID: 17308340 [Abstract] [Full Text] [Related]
49. Combining sequence and time series expression data to learn transcriptional modules. Kundaje A, Middendorf M, Gao F, Wiggins C, Leslie C. IEEE/ACM Trans Comput Biol Bioinform; 2005 Apr 15; 2(3):194-202. PubMed ID: 17044183 [Abstract] [Full Text] [Related]
50. Methods for assessing reproducibility of clustering patterns observed in analyses of microarray data. McShane LM, Radmacher MD, Freidlin B, Yu R, Li MC, Simon R. Bioinformatics; 2002 Nov 15; 18(11):1462-9. PubMed ID: 12424117 [Abstract] [Full Text] [Related]
51. A new validity measure for a correlation-based fuzzy c-means clustering algorithm. Zhang M, Zhang W, Sicotte H, Yang P. Annu Int Conf IEEE Eng Med Biol Soc; 2009 Nov 15; 2009():3865-8. PubMed ID: 19963601 [Abstract] [Full Text] [Related]
52. Correcting the loss of cell-cycle synchrony in clustering analysis of microarray data using weights. Duan F, Zhang H. Bioinformatics; 2004 Jul 22; 20(11):1766-71. PubMed ID: 15166015 [Abstract] [Full Text] [Related]
53. Graph-based consensus clustering for class discovery from gene expression data. Yu Z, Wong HS, Wang H. Bioinformatics; 2007 Nov 01; 23(21):2888-96. PubMed ID: 17872912 [Abstract] [Full Text] [Related]
55. Venn Mapping: clustering of heterologous microarray data based on the number of co-occurring differentially expressed genes. Smid M, Dorssers LC, Jenster G. Bioinformatics; 2003 Nov 01; 19(16):2065-71. PubMed ID: 14594711 [Abstract] [Full Text] [Related]
56. Analysis of gene expression profiles: an application of memetic algorithms to the minimum sum-of-squares clustering problem. Merz P. Biosystems; 2003 Nov 01; 72(1-2):99-109. PubMed ID: 14642661 [Abstract] [Full Text] [Related]
58. Effect of data normalization on fuzzy clustering of DNA microarray data. Kim SY, Lee JW, Bae JS. BMC Bioinformatics; 2006 Mar 14; 7():134. PubMed ID: 16533412 [Abstract] [Full Text] [Related]
59. Clustering time-varying gene expression profiles using scale-space signals. Syeda-Mahmood T. Proc IEEE Comput Soc Bioinform Conf; 2003 Mar 14; 2():48-56. PubMed ID: 16452778 [Abstract] [Full Text] [Related]
60. Finding gene clusters for a replicated time course study. Qin LX, Breeden L, Self SG. BMC Res Notes; 2014 Jan 24; 7():60. PubMed ID: 24460656 [Abstract] [Full Text] [Related] Page: [Previous] [Next] [New Search]