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Items: 1 to 20 of 111

1.

Gene expression data classification using consensus independent component analysis.

Zheng CH, Huang DS, Kong XZ, Zhao XM.

Genomics Proteomics Bioinformatics. 2008 Jun;6(2):74-82. doi: 10.1016/S1672-0229(08)60022-4.

2.

Tumor classification by partial least squares using microarray gene expression data.

Nguyen DV, Rocke DM.

Bioinformatics. 2002 Jan;18(1):39-50.

PMID:
11836210
3.

Developing optimal prediction models for cancer classification using gene expression data.

Soukup M, Lee JK.

J Bioinform Comput Biol. 2004 Jan;1(4):681-94.

PMID:
15290759
4.

Performance comparison of SLFN training algorithms for DNA microarray classification.

Huynh HT, Kim JJ, Won Y.

Adv Exp Med Biol. 2011;696:135-43. doi: 10.1007/978-1-4419-7046-6_14.

PMID:
21431554
5.
6.

Tclass: tumor classification system based on gene expression profile.

Wuju L, Momiao X.

Bioinformatics. 2002 Feb;18(2):325-6.

PMID:
11847083
7.

A new classification model with simple decision rule for discovering optimal feature gene pairs.

Li J, Tang X.

Comput Biol Med. 2007 Nov;37(11):1637-46. Epub 2007 May 7.

PMID:
17482157
8.

Simultaneous gene clustering and subset selection for sample classification via MDL.

Jörnsten R, Yu B.

Bioinformatics. 2003 Jun 12;19(9):1100-9.

PMID:
12801870
9.

A DSRPCL-SVM approach to informative gene analysis.

Xiong W, Cai Z, Ma J.

Genomics Proteomics Bioinformatics. 2008 Jun;6(2):83-90. doi: 10.1016/S1672-0229(08)60023-6.

10.

Independent component analysis-based penalized discriminant method for tumor classification using gene expression data.

Huang DS, Zheng CH.

Bioinformatics. 2006 Aug 1;22(15):1855-62. Epub 2006 May 18.

PMID:
16709589
11.

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. doi: 10.1016/j.compbiomed.2010.08.003. Epub 2010 Sep 22.

PMID:
20864095
12.

Cancer classification from the gene expression profiles by Discriminant Kernel-PLS.

Tang KL, Yao WJ, Li TH, Li YX, Cao ZW.

J Bioinform Comput Biol. 2010 Dec;8 Suppl 1:147-60.

PMID:
21155025
13.

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. doi: 10.1109/TNB.2011.2144998. Epub 2011 Jul 7.

PMID:
21742573
14.

Dimension reduction for classification with gene expression microarray data.

Dai JJ, Lieu L, Rocke D.

Stat Appl Genet Mol Biol. 2006;5:Article6. Epub 2006 Feb 24.

PMID:
16646870
15.

Computational methods for gene expression-based tumor classification.

Xiong M, Jin L, Li W, Boerwinkle E.

Biotechniques. 2000 Dec;29(6):1264-8, 1270.

PMID:
11126130
16.

Parsimonious selection of useful genes in microarray gene expression data.

González-Navarro FF, Belanche-Muñoz LA.

Adv Exp Med Biol. 2011;696:45-55. doi: 10.1007/978-1-4419-7046-6_5.

PMID:
21431545
17.

Fuzzy logic for elimination of redundant information of microarray data.

Huerta EB, Duval B, Hao JK.

Genomics Proteomics Bioinformatics. 2008 Jun;6(2):61-73. doi: 10.1016/S1672-0229(08)60021-2.

18.

A novel weighted support vector machine based on particle swarm optimization for gene selection and tumor classification.

Abdi MJ, Hosseini SM, Rezghi M.

Comput Math Methods Med. 2012;2012:320698. doi: 10.1155/2012/320698. Epub 2012 Jul 26.

19.

Multi-class cancer classification via partial least squares with gene expression profiles.

Nguyen DV, Rocke DM.

Bioinformatics. 2002 Sep;18(9):1216-26.

PMID:
12217913
20.

Hierarchical gene selection and genetic fuzzy system for cancer microarray data classification.

Nguyen T, Khosravi A, Creighton D, Nahavandi S.

PLoS One. 2015 Mar 30;10(3):e0120364. doi: 10.1371/journal.pone.0120364. eCollection 2015.

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