Integrative machine learning analysis of multiple gene expression profiles in cervical cancer

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Integrative machine learning analysis of multiple gene expression profiles in cervical cancer

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im Januar 2018 veröffentlichter wissenschaftlicher Artikel

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wetenschappelijk artikel

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наукова стаття, опублікована у 2018

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Integrative machine learning a ...... on profiles in cervical cancer

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Integrative machine learning a ...... on profiles in cervical cancer

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Integrative machine learning a ...... on profiles in cervical cancer

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Integrative machine learning a ...... on profiles in cervical cancer

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Integrative machine learning a ...... on profiles in cervical cancer

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Integrative machine learning a ...... on profiles in cervical cancer

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P1476

Integrative machine learning a ...... on profiles in cervical cancer

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P2093

Hwa Jen Yap

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Mei Sze Tan

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Phaik Leng Cheah

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Siow-Wee Chang

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Bioconductor: open software development for computational biology and bioinformatics

Cytoscape: a software environment for integrated models of biomolecular interaction networks

Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles.

Cluster analysis and display of genome-wide expression patterns

A sequence previously identified as metastasis-related encodes an acidic ribosomal phosphoprotein, P2

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

Cross-platform analysis of cancer microarray data improves gene expression based classification of phenotypes

Gene selection and classification of microarray data using random forest.

Minimum information about a microarray experiment (MIAME)-toward standards for microarray data

Linear models and empirical bayes methods for assessing differential expression in microarray experiments

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e5285

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scholarly article

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10.7717/PEERJ.5285

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English

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2018-01-01T00:00:00Z

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30065881

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gene expression profiling

machine learning

feature selection

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6064203

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