138 related articles for article (PubMed ID: 14518732)
1. 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]
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. 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]
4. 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]
5. 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]
6. 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]
7. 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]
8. 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]
9. Bayesian class discovery in microarray datasets.
Roth V; Lange T
IEEE Trans Biomed Eng; 2004 May; 51(5):707-18. PubMed ID: 15132496
[TBL] [Abstract][Full Text] [Related]
10. Bayesian automatic relevance determination algorithms for classifying gene expression data.
Li Y; Campbell C; Tipping M
Bioinformatics; 2002 Oct; 18(10):1332-9. PubMed ID: 12376377
[TBL] [Abstract][Full Text] [Related]
11. A combinational feature selection and ensemble neural network method for classification of gene expression data.
Liu B; Cui Q; Jiang T; Ma S
BMC Bioinformatics; 2004 Sep; 5():136. PubMed ID: 15450124
[TBL] [Abstract][Full Text] [Related]
12. New algorithms for multi-class cancer diagnosis using tumor gene expression signatures.
Bagirov AM; Ferguson B; Ivkovic S; Saunders G; Yearwood J
Bioinformatics; 2003 Sep; 19(14):1800-7. PubMed ID: 14512351
[TBL] [Abstract][Full Text] [Related]
13. Multi-class cancer classification via partial least squares with gene expression profiles.
Nguyen DV; Rocke DM
Bioinformatics; 2002 Sep; 18(9):1216-26. PubMed ID: 12217913
[TBL] [Abstract][Full Text] [Related]
14. Microarray-based cancer diagnosis with artificial neural networks.
Ringnér M; Peterson C
Biotechniques; 2003 Mar; Suppl():30-5. PubMed ID: 12664682
[TBL] [Abstract][Full Text] [Related]
15. Pattern identification and classification in gene expression data using an autoassociative neural network model.
Bicciato S; Pandin M; Didonè G; Di Bello C
Biotechnol Bioeng; 2003 Mar; 81(5):594-606. PubMed ID: 12514809
[TBL] [Abstract][Full Text] [Related]
16. Regularization network-based gene selection for microarray data analysis.
Zhou X; Mao KZ
Int J Neural Syst; 2006 Oct; 16(5):341-52. PubMed ID: 17117495
[TBL] [Abstract][Full Text] [Related]
17. On the statistical assessment of classifiers using DNA microarray data.
Ancona N; Maglietta R; Piepoli A; D'Addabbo A; Cotugno R; Savino M; Liuni S; Carella M; Pesole G; Perri F
BMC Bioinformatics; 2006 Aug; 7():387. PubMed ID: 16919171
[TBL] [Abstract][Full Text] [Related]
18. mdclust--exploratory microarray analysis by multidimensional clustering.
Dugas M; Merk S; Breit S; Dirschedl P
Bioinformatics; 2004 Apr; 20(6):931-6. PubMed ID: 14751972
[TBL] [Abstract][Full Text] [Related]
19. Genetic algorithms applied to multi-class prediction for the analysis of gene expression data.
Ooi CH; Tan P
Bioinformatics; 2003 Jan; 19(1):37-44. PubMed ID: 12499291
[TBL] [Abstract][Full Text] [Related]
20. Overcoming confounded controls in the analysis of gene expression data from microarray experiments.
Bhattacharya S; Long D; Lyons-Weiler J
Appl Bioinformatics; 2003; 2(4):197-208. PubMed ID: 15130791
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]