181 related articles for article (PubMed ID: 14668233)
1. A CART-based approach to discover emerging patterns in microarray data.
Boulesteix AL; Tutz G; Strimmer K
Bioinformatics; 2003 Dec; 19(18):2465-72. PubMed ID: 14668233
[TBL] [Abstract][Full Text] [Related]
2. Reliable classification of two-class cancer data using evolutionary algorithms.
Deb K; Raji Reddy A
Biosystems; 2003 Nov; 72(1-2):111-29. PubMed ID: 14642662
[TBL] [Abstract][Full Text] [Related]
3. Simultaneous gene clustering and subset selection for sample classification via MDL.
Jörnsten R; Yu B
Bioinformatics; 2003 Jun; 19(9):1100-9. PubMed ID: 12801870
[TBL] [Abstract][Full Text] [Related]
4. An unsupervised hierarchical dynamic self-organizing approach to cancer class discovery and marker gene identification in microarray data.
Hsu AL; Tang SL; Halgamuge SK
Bioinformatics; 2003 Nov; 19(16):2131-40. PubMed ID: 14594719
[TBL] [Abstract][Full Text] [Related]
5. SamCluster: an integrated scheme for automatic discovery of sample classes using gene expression profile.
Li W; Fan M; Xiong M
Bioinformatics; 2003 May; 19(7):811-7. PubMed ID: 12724290
[TBL] [Abstract][Full Text] [Related]
6. Evaluation of gene importance in microarray data based upon probability of selection.
Fu LM; Fu-Liu CS
BMC Bioinformatics; 2005 Mar; 6():67. PubMed ID: 15784140
[TBL] [Abstract][Full Text] [Related]
7. Improving reliability of gene selection from microarray functional genomics data.
Fu LM; Youn ES
IEEE Trans Inf Technol Biomed; 2003 Sep; 7(3):191-6. PubMed ID: 14518732
[TBL] [Abstract][Full Text] [Related]
8. A comprehensive evaluation of multicategory classification methods for microarray gene expression cancer diagnosis.
Statnikov A; Aliferis CF; Tsamardinos I; Hardin D; Levy S
Bioinformatics; 2005 Mar; 21(5):631-43. PubMed ID: 15374862
[TBL] [Abstract][Full Text] [Related]
9. Class discovery and classification of tumor samples using mixture modeling of gene expression data--a unified approach.
Alexandridis R; Lin S; Irwin M
Bioinformatics; 2004 Nov; 20(16):2545-52. PubMed ID: 15117753
[TBL] [Abstract][Full Text] [Related]
10. Microarray-based classification and clinical predictors: on combined classifiers and additional predictive value.
Boulesteix AL; Porzelius C; Daumer M
Bioinformatics; 2008 Aug; 24(15):1698-706. PubMed ID: 18544547
[TBL] [Abstract][Full Text] [Related]
11. A simple and efficient algorithm for gene selection using sparse logistic regression.
Shevade SK; Keerthi SS
Bioinformatics; 2003 Nov; 19(17):2246-53. PubMed ID: 14630653
[TBL] [Abstract][Full Text] [Related]
12. Cancer classification and prediction using logistic regression with Bayesian gene selection.
Zhou X; Liu KY; Wong ST
J Biomed Inform; 2004 Aug; 37(4):249-59. PubMed ID: 15465478
[TBL] [Abstract][Full Text] [Related]
13. Effective dimension reduction methods for tumor classification using gene expression data.
Antoniadis A; Lambert-Lacroix S; Leblanc F
Bioinformatics; 2003 Mar; 19(5):563-70. PubMed ID: 12651713
[TBL] [Abstract][Full Text] [Related]
14. BagBoosting for tumor classification with gene expression data.
Dettling M
Bioinformatics; 2004 Dec; 20(18):3583-93. PubMed ID: 15466910
[TBL] [Abstract][Full Text] [Related]
15. Classification of microarray data with factor mixture models.
Martella F
Bioinformatics; 2006 Jan; 22(2):202-8. PubMed ID: 16287938
[TBL] [Abstract][Full Text] [Related]
16. Boosting for tumor classification with gene expression data.
Dettling M; Bühlmann P
Bioinformatics; 2003 Jun; 19(9):1061-9. PubMed ID: 12801866
[TBL] [Abstract][Full Text] [Related]
17. Identifying periodically expressed transcripts in microarray time series data.
Wichert S; Fokianos K; Strimmer K
Bioinformatics; 2004 Jan; 20(1):5-20. PubMed ID: 14693803
[TBL] [Abstract][Full Text] [Related]
18. A Bayesian approach to joint feature selection and classifier design.
Krishnapuram B; Hartemink AJ; Carin L; Figueiredo MA
IEEE Trans Pattern Anal Mach Intell; 2004 Sep; 26(9):1105-11. PubMed ID: 15742887
[TBL] [Abstract][Full Text] [Related]
19. Mixture models for assessing differential expression in complex tissues using microarray data.
Ghosh D
Bioinformatics; 2004 Jul; 20(11):1663-9. PubMed ID: 14988124
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]
