A multi-filter enhanced genetic ensemble system for gene selection and sample classification of microarray data. - Test2 - elhamkhani - TriplyDB

A multi-filter enhanced genetic ensemble system for gene selection and sample classification of microarray data.

A multi-filter enhanced genetic ensemble system for gene selection and sample classification of microarray data.

http://www.wikidata.org/entity/Q33528239

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A Review of Feature Selection and Feature Extraction Methods Applied on Microarray Data geneCommittee: a web-based tool for extensively testing the discriminatory power of biologically relevant gene sets in microarray data classification Application of genetic algorithms and constructive neural networks for the analysis of microarray cancer data Improving accuracy for cancer classification with a new algorithm for genes selection.Predicting RTS,S Vaccine-Mediated Protection from Transcriptomes in a Malaria-Challenge Clinical Trial.Cuckoo search epistasis: a new method for exploring significant genetic interactions.A comparative analysis of biomarker selection techniques

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P2860

A multi-filter enhanced genetic ensemble system for gene selection and sample classification of microarray data.

http://www.wikidata.org/entity/Q33528239

description

2010 nî lūn-bûn

@nan

2010 թուականի Յունուարին հրատարակուած գիտական յօդուած

@hyw

2010 թվականի հունվարին հրատարակված գիտական հոդված

@hy

2010年の論文

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2010年論文

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2010年論文

@zh-hant

2010年論文

@zh-hk

2010年論文

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2010年論文

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2010年论文

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name

A multi-filter enhanced geneti ...... sification of microarray data.

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A multi-filter enhanced geneti ...... sification of microarray data.

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A multi-filter enhanced geneti ...... sification of microarray data.

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1471-2105-11-S1-S5

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BMC Bioinformatics

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A multi-filter enhanced geneti ...... sification of microarray data.

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Zili Zhang

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P2860

A combinational feature selection and ensemble neural network method for classification of gene expression data

Feature selection and classification for microarray data analysis: evolutionary methods for identifying predictive genes.

Molecular classification of cancer: class discovery and class prediction by gene expression monitoring

Broad patterns of gene expression revealed by clustering analysis of tumor and normal colon tissues probed by oligonucleotide arrays

An assessment of recently published gene expression data analyses: reporting experimental design and statistical factors

Gene selection for sample classification based on gene expression data: study of sensitivity to choice of parameters of the GA/KNN method.

Genetic algorithms applied to multi-class prediction for the analysis of gene expression data.

Class prediction and discovery using gene microarray and proteomics mass spectroscopy data: curses, caveats, cautions.

RankGene: identification of diagnostic genes based on expression data.

HykGene: a hybrid approach for selecting marker genes for phenotype classification using microarray gene expression data.

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1471-2105-11-s1-s5

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11 Suppl 1

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