208 related articles for article (PubMed ID: 16131522)
1. Robust prostate cancer marker genes emerge from direct integration of inter-study microarray data.
Xu L; Tan AC; Naiman DQ; Geman D; Winslow RL
Bioinformatics; 2005 Oct; 21(20):3905-11. PubMed ID: 16131522
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Biomarker discovery across annotated and unannotated microarray datasets using semi-supervised learning.
Harris C; Ghaffari N
BMC Genomics; 2008 Sep; 9 Suppl 2(Suppl 2):S7. PubMed ID: 18831798
[TBL] [Abstract][Full Text] [Related]
4. PACK: Profile Analysis using Clustering and Kurtosis to find molecular classifiers in cancer.
Teschendorff AE; Naderi A; Barbosa-Morais NL; Caldas C
Bioinformatics; 2006 Sep; 22(18):2269-75. PubMed ID: 16682424
[TBL] [Abstract][Full Text] [Related]
5. A GMM-IG framework for selecting genes as expression panel biomarkers.
Wang M; Chen JY
Artif Intell Med; 2010; 48(2-3):75-82. PubMed ID: 20004087
[TBL] [Abstract][Full Text] [Related]
6. Detecting common gene expression patterns in multiple cancer outcome entities.
Yang X; Bentink S; Spang R
Biomed Microdevices; 2005 Sep; 7(3):247-51. PubMed ID: 16133813
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. Structured polychotomous machine diagnosis of multiple cancer types using gene expression.
Koo JY; Sohn I; Kim S; Lee JW
Bioinformatics; 2006 Apr; 22(8):950-8. PubMed ID: 16452113
[TBL] [Abstract][Full Text] [Related]
9. Penalized Cox regression analysis in the high-dimensional and low-sample size settings, with applications to microarray gene expression data.
Gui J; Li H
Bioinformatics; 2005 Jul; 21(13):3001-8. PubMed ID: 15814556
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. Ensemble dependence model for classification and prediction of cancer and normal gene expression data.
Qiu P; Wang ZJ; Liu KJ
Bioinformatics; 2005 Jul; 21(14):3114-21. PubMed ID: 15879455
[TBL] [Abstract][Full Text] [Related]
12. Induction of comprehensible models for gene expression datasets by subgroup discovery methodology.
Gamberger D; Lavrac N; Zelezný F; Tolar J
J Biomed Inform; 2004 Aug; 37(4):269-84. PubMed ID: 15465480
[TBL] [Abstract][Full Text] [Related]
13. Cross platform microarray analysis for robust identification of differentially expressed genes.
Bosotti R; Locatelli G; Healy S; Scacheri E; Sartori L; Mercurio C; Calogero R; Isacchi A
BMC Bioinformatics; 2007 Mar; 8 Suppl 1(Suppl 1):S5. PubMed ID: 17430572
[TBL] [Abstract][Full Text] [Related]
14. Large scale data mining approach for gene-specific standardization of microarray gene expression data.
Yoon S; Yang Y; Choi J; Seong J
Bioinformatics; 2006 Dec; 22(23):2898-904. PubMed ID: 17032674
[TBL] [Abstract][Full Text] [Related]
15. Multiclass cancer classification and biomarker discovery using GA-based algorithms.
Liu JJ; Cutler G; Li W; Pan Z; Peng S; Hoey T; Chen L; Ling XB
Bioinformatics; 2005 Jun; 21(11):2691-7. PubMed ID: 15814557
[TBL] [Abstract][Full Text] [Related]
16. A supervised approach for identifying discriminating genotype patterns and its application to breast cancer data.
Yosef N; Yakhini Z; Tsalenko A; Kristensen V; Børresen-Dale AL; Ruppin E; Sharan R
Bioinformatics; 2007 Jan; 23(2):e91-8. PubMed ID: 17237111
[TBL] [Abstract][Full Text] [Related]
17. Constructing the gene regulation-level representation of microarray data for cancer classification.
Wong HS; Wang HQ
J Biomed Inform; 2008 Feb; 41(1):95-105. PubMed ID: 17499026
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. Small, fuzzy and interpretable gene expression based classifiers.
Vinterbo SA; Kim EY; Ohno-Machado L
Bioinformatics; 2005 May; 21(9):1964-70. PubMed ID: 15661797
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]
