Selecting Feature Subsets Based on SVM-RFE and the Overlapping Ratio with Applications in Bioinformatics.

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Selecting Feature Subsets Based on SVM-RFE and the Overlapping Ratio with Applications in Bioinformatics.

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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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2017年学术文章

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2017年学术文章

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Selecting Feature Subsets Base ...... pplications in Bioinformatics.

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Selecting Feature Subsets Base ...... pplications in Bioinformatics.

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Selecting Feature Subsets Base ...... pplications in Bioinformatics.

@en

Selecting Feature Subsets Base ...... pplications in Bioinformatics.

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Selecting Feature Subsets Base ...... pplications in Bioinformatics.

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Selecting Feature Subsets Base ...... pplications in Bioinformatics.

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P1476

Selecting Feature Subsets Base ...... Applications in Bioinformatics

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P2093

Benzhe Su

http://www.w3.org/2001/XMLSchema#string

Chao Li

http://www.w3.org/2001/XMLSchema#string

Hai Wei

http://www.w3.org/2001/XMLSchema#string

Meng Fan

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Xiaohui Lin

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Yanhui Zhang

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P2860

Gene selection and classification of microarray data using random forest.

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Gene expression profiling predicts clinical outcome of breast cancer

A New Combinatorial Optimization Approach for Integrated Feature Selection Using Different Datasets: A Prostate Cancer Transcriptomic Study

Prediction of central nervous system embryonal tumour outcome based on gene expression

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

Pretata: predicting TATA binding proteins with novel features and dimensionality reduction strategy.

A comprehensive evaluation of multicategory classification methods for microbiomic data.

GEMS: a system for automated cancer diagnosis and biomarker discovery from microarray gene expression data.

Multiple SVM-RFE for gene selection in cancer classification with expression data.

P31

scholarly article

P356

10.3390/MOLECULES23010052

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English

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P478

http://www.w3.org/2001/XMLSchema#string

P577

2017-12-26T00:00:00Z

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P698

29278382

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P921

bioinformatics

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5943966

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