158 related articles for article (PubMed ID: 19164008)
21. Parallelization of multicategory support vector machines (PMC-SVM) for classifying microarray data.
Zhang C; Li P; Rajendran A; Deng Y; Chen D
BMC Bioinformatics; 2006 Dec; 7 Suppl 4(Suppl 4):S15. PubMed ID: 17217507
[TBL] [Abstract][Full Text] [Related]
22. Development of two-stage SVM-RFE gene selection strategy for microarray expression data analysis.
Tang Y; Zhang YQ; Huang Z
IEEE/ACM Trans Comput Biol Bioinform; 2007; 4(3):365-81. PubMed ID: 17666757
[TBL] [Abstract][Full Text] [Related]
23. Response projected clustering for direct association with physiological and clinical response data.
Yi SG; Park T; Lee JK
BMC Bioinformatics; 2008 Jan; 9():76. PubMed ID: 18237428
[TBL] [Abstract][Full Text] [Related]
24. Applications of nonlinear system identification in molecular biology.
Korenberg MJ
Conf Proc IEEE Eng Med Biol Soc; 2006; 2006():256-9. PubMed ID: 17946811
[TBL] [Abstract][Full Text] [Related]
25. Bagging linear sparse Bayesian learning models for variable selection in cancer diagnosis.
Lu C; Devos A; Suykens JA; Arús C; Van Huffel S
IEEE Trans Inf Technol Biomed; 2007 May; 11(3):338-47. PubMed ID: 17521084
[TBL] [Abstract][Full Text] [Related]
26. Dimension reduction-based penalized logistic regression for cancer classification using microarray data.
Shen L; Tan EC
IEEE/ACM Trans Comput Biol Bioinform; 2005; 2(2):166-75. PubMed ID: 17044181
[TBL] [Abstract][Full Text] [Related]
27. A combination of rough-based feature selection and RBF neural network for classification using gene expression data.
Chiang JH; Ho SH
IEEE Trans Nanobioscience; 2008 Mar; 7(1):91-9. PubMed ID: 18334459
[TBL] [Abstract][Full Text] [Related]
28. Multi-category classification using an Extreme Learning Machine for microarray gene expression cancer diagnosis.
Zhang R; Huang GB; Sundararajan N; Saratchandran P
IEEE/ACM Trans Comput Biol Bioinform; 2007; 4(3):485-495. PubMed ID: 17666768
[TBL] [Abstract][Full Text] [Related]
29. Adaptive threshold to detect biologically meaningful changes in microarray data.
Fukuoka Y; Inaoka H; Noshiro M
Annu Int Conf IEEE Eng Med Biol Soc; 2008; 2008():5708-11. PubMed ID: 19164013
[TBL] [Abstract][Full Text] [Related]
30. Effects of replacing the unreliable cDNA microarray measurements on the disease classification based on gene expression profiles and functional modules.
Wang D; Lv Y; Guo Z; Li X; Li Y; Zhu J; Yang D; Xu J; Wang C; Rao S; Yang B
Bioinformatics; 2006 Dec; 22(23):2883-9. PubMed ID: 16809389
[TBL] [Abstract][Full Text] [Related]
31. 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]
32. 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]
33. 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]
34. Extracting very simple diagnostic rules from microarray data.
Wang L; Chu F
Annu Int Conf IEEE Eng Med Biol Soc; 2010; 2010():807-10. PubMed ID: 21096115
[TBL] [Abstract][Full Text] [Related]
35. Kalman filtering for disease-state estimation from microarray data.
Kelemen JZ; Kertész-Farkas A; Kocsor A; Puskás LG
Bioinformatics; 2006 Dec; 22(24):3047-53. PubMed ID: 17065158
[TBL] [Abstract][Full Text] [Related]
36. 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]
37. The effect of oligonucleotide microarray data pre-processing on the analysis of patient-cohort studies.
Verhaak RG; Staal FJ; Valk PJ; Lowenberg B; Reinders MJ; de Ridder D
BMC Bioinformatics; 2006 Mar; 7():105. PubMed ID: 16512908
[TBL] [Abstract][Full Text] [Related]
38. A nonparametric likelihood ratio test to identify differentially expressed genes from microarray data.
Bokka S; Mathur SK
Appl Bioinformatics; 2006; 5(4):267-76. PubMed ID: 17140273
[TBL] [Abstract][Full Text] [Related]
39. Bayesian model averaging: development of an improved multi-class, gene selection and classification tool for microarray data.
Yeung KY; Bumgarner RE; Raftery AE
Bioinformatics; 2005 May; 21(10):2394-402. PubMed ID: 15713736
[TBL] [Abstract][Full Text] [Related]
40. Regularized binormal ROC method in disease classification using microarray data.
Ma S; Song X; Huang J
BMC Bioinformatics; 2006 May; 7():253. PubMed ID: 16684357
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]