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Items: 1 to 20 of 118

1.

Feature Selection for high Dimensional DNA Microarray data using hybrid approaches.

Kumar AP, Valsala P.

Bioinformation. 2013 Sep 23;9(16):824-8. doi: 10.6026/97320630009824. eCollection 2013.

2.

Filter versus wrapper gene selection approaches in DNA microarray domains.

Inza I, Larrañaga P, Blanco R, Cerrolaza AJ.

Artif Intell Med. 2004 Jun;31(2):91-103. Review.

PMID:
15219288
3.

Fissures segmentation using surface features: content-based retrieval for mammographic mass using ensemble classifier.

Liu H, Lan Y, Xu X, Song E, Hung CC.

Acad Radiol. 2011 Dec;18(12):1475-84. doi: 10.1016/j.acra.2011.08.012.

PMID:
22055794
4.

A hybrid feature selection method for DNA microarray data.

Chuang LY, Yang CH, Wu KC, Yang CH.

Comput Biol Med. 2011 Apr;41(4):228-37. doi: 10.1016/j.compbiomed.2011.02.004. Epub 2011 Mar 3.

PMID:
21376310
5.

A novel feature selection approach for biomedical data classification.

Peng Y, Wu Z, Jiang J.

J Biomed Inform. 2010 Feb;43(1):15-23. doi: 10.1016/j.jbi.2009.07.008. Epub 2009 Jul 30.

6.

Computer-assisted lip diagnosis on Traditional Chinese Medicine using multi-class support vector machines.

Li F, Zhao C, Xia Z, Wang Y, Zhou X, Li GZ.

BMC Complement Altern Med. 2012 Aug 16;12:127. doi: 10.1186/1472-6882-12-127.

7.

A hybrid BPSO-CGA approach for gene selection and classification of microarray data.

Chuang LY, Yang CH, Li JC, Yang CH.

J Comput Biol. 2012 Jan;19(1):68-82. doi: 10.1089/cmb.2010.0064. Epub 2011 Jan 6.

8.

Hybrid genetic algorithm-neural network: feature extraction for unpreprocessed microarray data.

Tong DL, Schierz AC.

Artif Intell Med. 2011 Sep;53(1):47-56. doi: 10.1016/j.artmed.2011.06.008. Epub 2011 Jul 19.

PMID:
21775110
9.

Regularization network-based gene selection for microarray data analysis.

Zhou X, Mao KZ.

Int J Neural Syst. 2006 Oct;16(5):341-52.

PMID:
17117495
10.
11.

Improved classification of medical data using abductive network committees trained on different feature subsets.

Abdel-Aal RE.

Comput Methods Programs Biomed. 2005 Nov;80(2):141-53. Epub 2005 Sep 19.

PMID:
16169631
12.

Incorporating feature ranking and evolutionary methods for the classification of high-dimensional DNA microarray gene expression data.

Abedini M, Kirley M, Chiong R.

Australas Med J. 2013 May 30;6(5):272-9. doi: 10.4066/AMJ.2013.1641. Print 2013.

13.
14.

Correlation-based gene selection and classification using Taguchi-BPSO.

Chuang LY, Yang CS, Wu KC, Yang CH.

Methods Inf Med. 2010;49(3):254-68. doi: 10.3414/ME09-01-0010. Epub 2010 Feb 5.

PMID:
20135079
15.

Context based mixture model for cell phase identification in automated fluorescence microscopy.

Wang M, Zhou X, King RW, Wong ST.

BMC Bioinformatics. 2007 Jan 30;8:32.

16.

A robust hybrid between genetic algorithm and support vector machine for extracting an optimal feature gene subset.

Li L, Jiang W, Li X, Moser KL, Guo Z, Du L, Wang Q, Topol EJ, Wang Q, Rao S.

Genomics. 2005 Jan;85(1):16-23.

PMID:
15607418
17.
18.

Gene selection and classification of microarray data using random forest.

Díaz-Uriarte R, Alvarez de Andrés S.

BMC Bioinformatics. 2006 Jan 6;7:3.

19.

A blocking strategy to improve gene selection for classification of gene expression data.

Bontempi G.

IEEE/ACM Trans Comput Biol Bioinform. 2007 Apr-Jun;4(2):293-300.

PMID:
17473321
20.

Wrapper-filter feature selection algorithm using a memetic framework.

Zhu Z, Ong YS, Dash M.

IEEE Trans Syst Man Cybern B Cybern. 2007 Feb;37(1):70-6.

PMID:
17278560
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