131 related articles for article (PubMed ID: 25127408)
1. Locally linear representation Fisher criterion based tumor gene expressive data classification.
Li B; Tian BB; Zhang XL; Zhang XP
Comput Biol Med; 2014 Oct; 53():48-54. PubMed ID: 25127408
[TBL] [Abstract][Full Text] [Related]
2. Gene expression data classification using locally linear discriminant embedding.
Li B; Zheng CH; Huang DS; Zhang L; Han K
Comput Biol Med; 2010 Oct; 40(10):802-10. PubMed ID: 20864095
[TBL] [Abstract][Full Text] [Related]
3. A supervised orthogonal discriminant projection for tumor classification using gene expression data.
Zhang C; Zhang S
Comput Biol Med; 2013 Jun; 43(5):568-75. PubMed ID: 23452931
[TBL] [Abstract][Full Text] [Related]
4. Sparse maximum margin discriminant analysis for feature extraction and gene selection on gene expression data.
Cui Y; Zheng CH; Yang J; Sha W
Comput Biol Med; 2013 Aug; 43(7):933-41. PubMed ID: 23746736
[TBL] [Abstract][Full Text] [Related]
5. Similarity-balanced discriminant neighbor embedding and its application to cancer classification based on gene expression data.
Zhang L; Qian L; Ding C; Zhou W; Li F
Comput Biol Med; 2015 Sep; 64():236-45. PubMed ID: 26232671
[TBL] [Abstract][Full Text] [Related]
6. Tumor classification based on non-negative matrix factorization using gene expression data.
Zheng CH; Ng TY; Zhang L; Shiu CK; Wang HQ
IEEE Trans Nanobioscience; 2011 Jun; 10(2):86-93. PubMed ID: 21742573
[TBL] [Abstract][Full Text] [Related]
7. An efficient statistical feature selection approach for classification of gene expression data.
Chandra B; Gupta M
J Biomed Inform; 2011 Aug; 44(4):529-35. PubMed ID: 21241823
[TBL] [Abstract][Full Text] [Related]
8. Robust dimensionality reduction via feature space to feature space distance metric learning.
Li B; Fan ZT; Zhang XL; Huang DS
Neural Netw; 2019 Apr; 112():1-14. PubMed ID: 30716617
[TBL] [Abstract][Full Text] [Related]
9. Robust and efficient identification of biomarkers by classifying features on graphs.
Hwang T; Sicotte H; Tian Z; Wu B; Kocher JP; Wigle DA; Kumar V; Kuang R
Bioinformatics; 2008 Sep; 24(18):2023-9. PubMed ID: 18653521
[TBL] [Abstract][Full Text] [Related]
10. [A classification method of gene expression profile based on a locally linear embedding algorism with improved distance].
Cai X; Wei J; Wen G; Li J
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2011 Dec; 28(6):1213-6. PubMed ID: 22295716
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. Tumor classification based on orthogonal linear discriminant analysis.
Wang H; Zhang S
Biomed Mater Eng; 2014; 24(1):1399-405. PubMed ID: 24212037
[TBL] [Abstract][Full Text] [Related]
13. A conditional entropy minimization criterion for dimensionality reduction and multiple kernel learning.
Hino H; Murata N
Neural Comput; 2010 Nov; 22(11):2887-923. PubMed ID: 20804381
[TBL] [Abstract][Full Text] [Related]
14. Local and global preserving semisupervised dimensionality reduction based on random subspace for cancer classification.
Cai X; Wei J; Wen G; Yu Z
IEEE J Biomed Health Inform; 2014 Mar; 18(2):500-7. PubMed ID: 24058037
[TBL] [Abstract][Full Text] [Related]
15. Using uncorrelated discriminant analysis for tissue classification with gene expression data.
Ye J; Li T; Xiong T; Janardan R
IEEE/ACM Trans Comput Biol Bioinform; 2004; 1(4):181-90. PubMed ID: 17051700
[TBL] [Abstract][Full Text] [Related]
16. Sparse Manifold Clustering and Embedding to discriminate gene expression profiles of glioblastoma and meningioma tumors.
García-Gómez JM; Gómez-Sanchis J; Escandell-Montero P; Fuster-Garcia E; Soria-Olivas E
Comput Biol Med; 2013 Nov; 43(11):1863-9. PubMed ID: 24209931
[TBL] [Abstract][Full Text] [Related]
17. SVM-RFE with MRMR filter for gene selection.
Mundra PA; Rajapakse JC
IEEE Trans Nanobioscience; 2010 Mar; 9(1):31-7. PubMed ID: 19884101
[TBL] [Abstract][Full Text] [Related]
18. A multiple kernel support vector machine scheme for feature selection and rule extraction from gene expression data of cancer tissue.
Chen Z; Li J; Wei L
Artif Intell Med; 2007 Oct; 41(2):161-75. PubMed ID: 17851055
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. Gene-expression-based cancer subtypes prediction through feature selection and transductive SVM.
Maulik U; Mukhopadhyay A; Chakraborty D
IEEE Trans Biomed Eng; 2013 Apr; 60(4):1111-7. PubMed ID: 23095982
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]