Gene selection for microarray data classification via subspace learning and manifold regularization.

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Gene selection for microarray data classification via subspace learning and manifold regularization.

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2017 nî lūn-bûn

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2017年の論文

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2017年学术文章

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2017年学术文章

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Gene selection for microarray ...... g and manifold regularization.

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Gene selection for microarray ...... g and manifold regularization.

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Gene selection for microarray ...... g and manifold regularization.

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Gene selection for microarray ...... g and manifold regularization.

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Gene selection for microarray ...... g and manifold regularization.

@en

Gene selection for microarray ...... g and manifold regularization.

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P1476

Gene selection for microarray ...... ng and manifold regularization

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P2093

Chang Tang

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Lijuan Cao

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Xiao Zheng

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P2860

Classification and selection of biomarkers in genomic data using LASSO.

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Learning the parts of objects by non-negative matrix factorization

Improved statistical inference from DNA microarray data using analysis of variance and a Bayesian statistical framework. Analysis of global gene expression in Escherichia coli K12.

A kernel-based multivariate feature selection method for microarray data classification

Gene selection from microarray data for cancer classification--a machine learning approach.

A novel sparse coding algorithm for classification of tumors based on gene expression data.

Predicting the prognosis of breast cancer by integrating clinical and microarray data with Bayesian networks.

A centroid-based gene selection method for microarray data classification.

A hybrid gene selection approach for microarray data classification using cellular learning automata and ant colony optimization.

P304

1271-1284

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scholarly article

P356

10.1007/S11517-017-1751-6

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P433

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P478

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P50

Minhui Wang

P577

2017-12-19T00:00:00Z

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P698

29256006

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