137 related articles for article (PubMed ID: 15308545)
1. Construction of robust prognostic predictors by using projective adaptive resonance theory as a gene filtering method.
Takahashi H; Kobayashi T; Honda H
Bioinformatics; 2005 Jan; 21(2):179-86. PubMed ID: 15308545
[TBL] [Abstract][Full Text] [Related]
2. Modified signal-to-noise: a new simple and practical gene filtering approach based on the concept of projective adaptive resonance theory (PART) filtering method.
Takahashi H; Honda H
Bioinformatics; 2006 Jul; 22(13):1662-4. PubMed ID: 16632489
[TBL] [Abstract][Full Text] [Related]
3. Outcome signature genes in breast cancer: is there a unique set?
Ein-Dor L; Kela I; Getz G; Givol D; Domany E
Bioinformatics; 2005 Jan; 21(2):171-8. PubMed ID: 15308542
[TBL] [Abstract][Full Text] [Related]
4. Cancer diagnosis marker extraction for soft tissue sarcomas based on gene expression profiling data by using projective adaptive resonance theory (PART) filtering method.
Takahashi H; Nemoto T; Yoshida T; Honda H; Hasegawa T
BMC Bioinformatics; 2006 Sep; 7():399. PubMed ID: 16948864
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. 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]
7. 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]
8. Gene selection using a two-level hierarchical Bayesian model.
Bae K; Mallick BK
Bioinformatics; 2004 Dec; 20(18):3423-30. PubMed ID: 15256404
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. Empirical Bayes screening of many p-values with applications to microarray studies.
Datta S; Datta S
Bioinformatics; 2005 May; 21(9):1987-94. PubMed ID: 15691856
[TBL] [Abstract][Full Text] [Related]
11. Fuzzy J-Means and VNS methods for clustering genes from microarray data.
Belacel N; Cuperlović-Culf M; Laflamme M; Ouellette R
Bioinformatics; 2004 Jul; 20(11):1690-701. PubMed ID: 14988127
[TBL] [Abstract][Full Text] [Related]
12. Classification of intramural metastases and lymph node metastases of esophageal cancer from gene expression based on boosting and projective adaptive resonance theory.
Takahashi H; Aoyagi K; Nakanishi Y; Sasaki H; Yoshida T; Honda H
J Biosci Bioeng; 2006 Jul; 102(1):46-52. PubMed ID: 16952836
[TBL] [Abstract][Full Text] [Related]
13. A protocol for building and evaluating predictors of disease state based on microarray data.
Wessels LF; Reinders MJ; Hart AA; Veenman CJ; Dai H; He YD; van't Veer LJ
Bioinformatics; 2005 Oct; 21(19):3755-62. PubMed ID: 15817694
[TBL] [Abstract][Full Text] [Related]
14. Estimating misclassification error with small samples via bootstrap cross-validation.
Fu WJ; Carroll RJ; Wang S
Bioinformatics; 2005 May; 21(9):1979-86. PubMed ID: 15691862
[TBL] [Abstract][Full Text] [Related]
15. Biclustering microarray data by Gibbs sampling.
Sheng Q; Moreau Y; De Moor B
Bioinformatics; 2003 Oct; 19 Suppl 2():ii196-205. PubMed ID: 14534190
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. Prediction of the outcome of preoperative chemotherapy in breast cancer using DNA probes that provide information on both complete and incomplete responses.
Natowicz R; Incitti R; Horta EG; Charles B; Guinot P; Yan K; Coutant C; Andre F; Pusztai L; Rouzier R
BMC Bioinformatics; 2008 Mar; 9():149. PubMed ID: 18366635
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. Empirical study of supervised gene screening.
Ma S
BMC Bioinformatics; 2006 Dec; 7():537. PubMed ID: 17176468
[TBL] [Abstract][Full Text] [Related]
20. Differences in gene expression between B-cell chronic lymphocytic leukemia and normal B cells: a meta-analysis of three microarray studies.
Wang J; Coombes KR; Highsmith WE; Keating MJ; Abruzzo LV
Bioinformatics; 2004 Nov; 20(17):3166-78. PubMed ID: 15231529
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
