190 related articles for article (PubMed ID: 16682424)
21. Clustering of change patterns using Fourier coefficients.
Kim J; Kim H
Bioinformatics; 2008 Jan; 24(2):184-91. PubMed ID: 18025003
[TBL] [Abstract][Full Text] [Related]
22. Meta-analysis of gene expression data: a predictor-based approach.
Fishel I; Kaufman A; Ruppin E
Bioinformatics; 2007 Jul; 23(13):1599-606. PubMed ID: 17463023
[TBL] [Abstract][Full Text] [Related]
23. Bayesian variable selection for the analysis of microarray data with censored outcomes.
Sha N; Tadesse MG; Vannucci M
Bioinformatics; 2006 Sep; 22(18):2262-8. PubMed ID: 16845144
[TBL] [Abstract][Full Text] [Related]
24. I/NI-calls for the exclusion of non-informative genes: a highly effective filtering tool for microarray data.
Talloen W; Clevert DA; Hochreiter S; Amaratunga D; Bijnens L; Kass S; Göhlmann HW
Bioinformatics; 2007 Nov; 23(21):2897-902. PubMed ID: 17921172
[TBL] [Abstract][Full Text] [Related]
25. 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]
26. A note on controlling the number of false positives.
Korn EL; Freidlin B
Biometrics; 2008 Mar; 64(1):227-31. PubMed ID: 17900315
[TBL] [Abstract][Full Text] [Related]
27. Towards clustering of incomplete microarray data without the use of imputation.
Kim DW; Lee KY; Lee KH; Lee D
Bioinformatics; 2007 Jan; 23(1):107-13. PubMed ID: 17077099
[TBL] [Abstract][Full Text] [Related]
28. Consensus analysis of multiple classifiers using non-repetitive variables: diagnostic application to microarray gene expression data.
Su Z; Hong H; Perkins R; Shao X; Cai W; Tong W
Comput Biol Chem; 2007 Feb; 31(1):48-56. PubMed ID: 17303535
[TBL] [Abstract][Full Text] [Related]
29. A multi-stage approach to clustering and imputation of gene expression profiles.
Wong DS; Wong FK; Wood GR
Bioinformatics; 2007 Apr; 23(8):998-1005. PubMed ID: 17308340
[TBL] [Abstract][Full Text] [Related]
30. COPA--cancer outlier profile analysis.
MacDonald JW; Ghosh D
Bioinformatics; 2006 Dec; 22(23):2950-1. PubMed ID: 16895932
[TBL] [Abstract][Full Text] [Related]
31. Robust and efficient identification of biomarkers by classifying features on graphs.
Hwang T; Sicotte H; Tian Z; Wu B; Kocher JP; Wigle DA; Kumar V; Kuang R
Bioinformatics; 2008 Sep; 24(18):2023-9. PubMed ID: 18653521
[TBL] [Abstract][Full Text] [Related]
32. Class discovery from gene expression data based on perturbation and cluster ensemble.
Yu Z; Wong HS
IEEE Trans Nanobioscience; 2009 Jun; 8(2):147-60. PubMed ID: 19497836
[TBL] [Abstract][Full Text] [Related]
33. Forest classification trees and forest support vector machines algorithms: Demonstration using microarray data.
Zintzaras E; Kowald A
Comput Biol Med; 2010 May; 40(5):519-24. PubMed ID: 20398898
[TBL] [Abstract][Full Text] [Related]
34. Identification of aberrant chromosomal regions from gene expression microarray studies applied to human breast cancer.
Buness A; Kuner R; Ruschhaupt M; Poustka A; Sültmann H; Tresch A
Bioinformatics; 2007 Sep; 23(17):2273-80. PubMed ID: 17599933
[TBL] [Abstract][Full Text] [Related]
35. Tumor classification ranking from microarray data.
Hewett R; Kijsanayothin P
BMC Genomics; 2008 Sep; 9 Suppl 2(Suppl 2):S21. PubMed ID: 18831787
[TBL] [Abstract][Full Text] [Related]
36. Matching methods for observational microarray studies.
Heller R; Manduchi E; Small DS
Bioinformatics; 2009 Apr; 25(7):904-9. PubMed ID: 19098026
[TBL] [Abstract][Full Text] [Related]
37. A method for predicting disease subtypes in presence of misclassification among training samples using gene expression: application to human breast cancer.
Zhang W; Rekaya R; Bertrand K
Bioinformatics; 2006 Feb; 22(3):317-25. PubMed ID: 16267079
[TBL] [Abstract][Full Text] [Related]
38. Monte Carlo feature selection for supervised classification.
Draminski M; Rada-Iglesias A; Enroth S; Wadelius C; Koronacki J; Komorowski J
Bioinformatics; 2008 Jan; 24(1):110-7. PubMed ID: 18048398
[TBL] [Abstract][Full Text] [Related]
39. 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]
40. Pathway recognition and augmentation by computational analysis of microarray expression data.
Novak BA; Jain AN
Bioinformatics; 2006 Jan; 22(2):233-41. PubMed ID: 16278238
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
