246 related articles for article (PubMed ID: 17933851)
1. Incorporating prior knowledge of gene functional groups into regularized discriminant analysis of microarray data.
Tai F; Pan W
Bioinformatics; 2007 Dec; 23(23):3170-7. PubMed ID: 17933851
[TBL] [Abstract][Full Text] [Related]
2. Regularized linear discriminant analysis and its application in microarrays.
Guo Y; Hastie T; Tibshirani R
Biostatistics; 2007 Jan; 8(1):86-100. PubMed ID: 16603682
[TBL] [Abstract][Full Text] [Related]
3. Improved centroids estimation for the nearest shrunken centroid classifier.
Wang S; Zhu J
Bioinformatics; 2007 Apr; 23(8):972-9. PubMed ID: 17384429
[TBL] [Abstract][Full Text] [Related]
4. Independent component analysis-based penalized discriminant method for tumor classification using gene expression data.
Huang DS; Zheng CH
Bioinformatics; 2006 Aug; 22(15):1855-62. PubMed ID: 16709589
[TBL] [Abstract][Full Text] [Related]
5. Eigengene-based linear discriminant model for tumor classification using gene expression microarray data.
Shen R; Ghosh D; Chinnaiyan A; Meng Z
Bioinformatics; 2006 Nov; 22(21):2635-42. PubMed ID: 16926220
[TBL] [Abstract][Full Text] [Related]
6. Incorporating prior knowledge of predictors into penalized classifiers with multiple penalty terms.
Tai F; Pan W
Bioinformatics; 2007 Jul; 23(14):1775-82. PubMed ID: 17483507
[TBL] [Abstract][Full Text] [Related]
7. Differential gene expression detection and sample classification using penalized linear regression models.
Wu B
Bioinformatics; 2006 Feb; 22(4):472-6. PubMed ID: 16352654
[TBL] [Abstract][Full Text] [Related]
8. Classification of microarrays to nearest centroids.
Dabney AR
Bioinformatics; 2005 Nov; 21(22):4148-54. PubMed ID: 16174683
[TBL] [Abstract][Full Text] [Related]
9. Recursive gene selection based on maximum margin criterion: a comparison with SVM-RFE.
Niijima S; Kuhara S
BMC Bioinformatics; 2006 Dec; 7():543. PubMed ID: 17187691
[TBL] [Abstract][Full Text] [Related]
10. Comparison of linear discriminant analysis methods for the classification of cancer based on gene expression data.
Huang D; Quan Y; He M; Zhou B
J Exp Clin Cancer Res; 2009 Dec; 28(1):149. PubMed ID: 20003274
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. 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]
13. 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]
14. Optimal number of features as a function of sample size for various classification rules.
Hua J; Xiong Z; Lowey J; Suh E; Dougherty ER
Bioinformatics; 2005 Apr; 21(8):1509-15. PubMed ID: 15572470
[TBL] [Abstract][Full Text] [Related]
15. MSVM-RFE: extensions of SVM-RFE for multiclass gene selection on DNA microarray data.
Zhou X; Tuck DP
Bioinformatics; 2007 May; 23(9):1106-14. PubMed ID: 17494773
[TBL] [Abstract][Full Text] [Related]
16. A mixture model with random-effects components for clustering correlated gene-expression profiles.
Ng SK; McLachlan GJ; Wang K; Ben-Tovim Jones L; Ng SW
Bioinformatics; 2006 Jul; 22(14):1745-52. PubMed ID: 16675467
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. What should be expected from feature selection in small-sample settings.
Sima C; Dougherty ER
Bioinformatics; 2006 Oct; 22(19):2430-6. PubMed ID: 16870934
[TBL] [Abstract][Full Text] [Related]
19. Reporting bias when using real data sets to analyze classification performance.
Yousefi MR; Hua J; Sima C; Dougherty ER
Bioinformatics; 2010 Jan; 26(1):68-76. PubMed ID: 19846436
[TBL] [Abstract][Full Text] [Related]
20. Feature construction from synergic pairs to improve microarray-based classification.
Hanczar B; Zucker JD; Henegar C; Saitta L
Bioinformatics; 2007 Nov; 23(21):2866-72. PubMed ID: 17925306
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]