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Results: 1 to 20 of 67

Similar articles for PubMed (Select 22199032)

1.

Perturbation and candidate analysis to combat overfitting of gene expression microarray data.

Mathur R, Schaffer JD, Land WH Jr, Heine JJ, Hernandez JM, Yeatman T.

Int J Comput Biol Drug Des. 2011;4(4):307-15. doi: 10.1504/IJCBDD.2011.044443. Epub 2011 Dec 24.

PMID:
22199032
2.

Fuzzy preference based feature selection and semisupervised SVM for cancer classification.

Maulik U, Chakraborty D.

IEEE Trans Nanobioscience. 2014 Jun;13(2):152-60. doi: 10.1109/TNB.2014.2312132.

PMID:
24893364
3.

Analyzing kernel matrices for the identification of differentially expressed genes.

Xia XL, Xing H, Liu X.

PLoS One. 2013 Dec 9;8(12):e81683. doi: 10.1371/journal.pone.0081683. eCollection 2013.

4.

An ensemble of SVM classifiers based on gene pairs.

Tong M, Liu KH, Xu C, Ju W.

Comput Biol Med. 2013 Jul;43(6):729-37. doi: 10.1016/j.compbiomed.2013.03.010. Epub 2013 Mar 30.

PMID:
23668348
5.

A robust hybrid approach based on estimation of distribution algorithm and support vector machine for hunting candidate disease genes.

Li L, Chen H, Liu C, Wang F, Zhang F, Bai L, Chen Y, Peng L.

ScientificWorldJournal. 2013;2013:393570. doi: 10.1155/2013/393570. Epub 2013 Feb 7.

6.

The classification of cancer stage microarray data.

Chen CK.

Comput Methods Programs Biomed. 2012 Dec;108(3):1070-7. doi: 10.1016/j.cmpb.2012.07.001. Epub 2012 Aug 25.

PMID:
22925656
7.

Comparison of data-merging methods with SVM attribute selection and classification in breast cancer gene expression.

Bevilacqua V, Pannarale P, Abbrescia M, Cava C, Paradiso A, Tommasi S.

BMC Bioinformatics. 2012 May 8;13 Suppl 7:S9. doi: 10.1186/1471-2105-13-S7-S9.

8.

SVM-T-RFE: a novel gene selection algorithm for identifying metastasis-related genes in colorectal cancer using gene expression profiles.

Li X, Peng S, Chen J, Lü B, Zhang H, Lai M.

Biochem Biophys Res Commun. 2012 Mar 9;419(2):148-53. doi: 10.1016/j.bbrc.2012.01.087. Epub 2012 Jan 28.

PMID:
22306013
9.

Unimodal transform of variables selected by interval segmentation purity for classification tree modeling of high-dimensional microarray data.

Du W, Gu T, Tang LJ, Jiang JH, Wu HL, Shen GL, Yu RQ.

Talanta. 2011 Sep 15;85(3):1689-94. doi: 10.1016/j.talanta.2011.06.076. Epub 2011 Jul 7.

PMID:
21807240
10.

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
11.

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
12.

Genome-wide molecular characterization of mucinous colorectal adenocarcinoma using cDNA microarray analysis.

Kim HS, Kang SH, Park CH, Yang WI, Jeung HC, Chung HC, Roh JK, Ahn JB, Kim NK, Min BS, Rha SY.

Oncol Rep. 2011 Mar;25(3):717-27. doi: 10.3892/or.2010.1126. Epub 2010 Dec 27.

PMID:
21206979
13.

Nonnegative principal component analysis for cancer molecular pattern discovery.

Han X.

IEEE/ACM Trans Comput Biol Bioinform. 2010 Jul-Sep;7(3):537-49. doi: 10.1109/TCBB.2009.36.

PMID:
20671323
14.

Robust multi-tissue gene panel for cancer detection.

Irgon J, Huang CC, Zhang Y, Talantov D, Bhanot G, Szalma S.

BMC Cancer. 2010 Jun 22;10:319. doi: 10.1186/1471-2407-10-319.

15.

Cancer classification from gene expression data by NPPC ensemble.

Ghorai S, Mukherjee A, Sengupta S, Dutta PK.

IEEE/ACM Trans Comput Biol Bioinform. 2011 May-Jun;8(3):659-71. doi: 10.1109/TCBB.2010.36.

PMID:
20479504
16.

Tabu search and binary particle swarm optimization for feature selection using microarray data.

Chuang LY, Yang CH, Yang CH.

J Comput Biol. 2009 Dec;16(12):1689-703. doi: 10.1089/cmb.2007.0211.

PMID:
20047491
17.

Mixture classification model based on clinical markers for breast cancer prognosis.

Zeng T, Liu J.

Artif Intell Med. 2010 Feb-Mar;48(2-3):129-37. doi: 10.1016/j.artmed.2009.07.008. Epub 2009 Dec 14.

PMID:
20005686
18.

A GMM-IG framework for selecting genes as expression panel biomarkers.

Wang M, Chen JY.

Artif Intell Med. 2010 Feb-Mar;48(2-3):75-82. doi: 10.1016/j.artmed.2009.07.006. Epub 2009 Dec 8.

PMID:
20004087
19.

Class discovery from gene expression data based on perturbation and cluster ensemble.

Yu Z, Wong HS.

IEEE Trans Nanobioscience. 2009 Jun;8(2):147-60. doi: 10.1109/TNB.2009.2023321. Epub 2009 Jun 2.

PMID:
19497836
20.

Biclustering of microarray data with MOSPO based on crowding distance.

Liu J, Li Z, Hu X, Chen Y.

BMC Bioinformatics. 2009 Apr 29;10 Suppl 4:S9. doi: 10.1186/1471-2105-10-S4-S9.

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