449 related articles for article (PubMed ID: 16105897)
1. Simple decision rules for classifying human cancers from gene expression profiles.
Tan AC; Naiman DQ; Xu L; Winslow RL; Geman D
Bioinformatics; 2005 Oct; 21(20):3896-904. PubMed ID: 16105897
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. 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]
4. 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]
5. Kernel-imbedded Gaussian processes for disease classification using microarray gene expression data.
Zhao X; Cheung LW
BMC Bioinformatics; 2007 Feb; 8():67. PubMed ID: 17328811
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. Regularization strategies for hyperplane classifiers: application to cancer classification with gene expression data.
Andries E; Hagstrom T; Atlas SR; Willman C
J Bioinform Comput Biol; 2007 Feb; 5(1):79-104. PubMed ID: 17477492
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. TSG: a new algorithm for binary and multi-class cancer classification and informative genes selection.
Wang H; Zhang H; Dai Z; Chen MS; Yuan Z
BMC Med Genomics; 2013; 6 Suppl 1(Suppl 1):S3. PubMed ID: 23445528
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. 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]
12. 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]
13. 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]
14. Bagging linear sparse Bayesian learning models for variable selection in cancer diagnosis.
Lu C; Devos A; Suykens JA; ArĂºs C; Van Huffel S
IEEE Trans Inf Technol Biomed; 2007 May; 11(3):338-47. PubMed ID: 17521084
[TBL] [Abstract][Full Text] [Related]
15. Cancer molecular pattern discovery by subspace consensus kernel classification.
Han X
Comput Syst Bioinformatics Conf; 2007; 6():55-65. PubMed ID: 17951812
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. 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]
18. 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]
19. Multiple SVM-RFE for gene selection in cancer classification with expression data.
Duan KB; Rajapakse JC; Wang H; Azuaje F
IEEE Trans Nanobioscience; 2005 Sep; 4(3):228-34. PubMed ID: 16220686
[TBL] [Abstract][Full Text] [Related]
20. Multiclass molecular cancer classification by kernel subspace methods with effective kernel parameter selection.
Niijima S; Kuhara S
J Bioinform Comput Biol; 2005 Oct; 3(5):1071-88. PubMed ID: 16278948
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]