Meta-analytic Principal Component Analysis in Integrative Omics Application.

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Meta-analytic Principal Component Analysis in Integrative Omics Application.

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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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2017年学术文章

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2017年学术文章

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2017年學術文章

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2017年學術文章

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Meta-analytic Principal Component Analysis in Integrative Omics Application.

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Meta-analytic Principal Component Analysis in Integrative Omics Application.

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label

Meta-analytic Principal Component Analysis in Integrative Omics Application.

@en

Meta-analytic Principal Component Analysis in Integrative Omics Application.

@nl

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Meta-analytic Principal Component Analysis in Integrative Omics Application.

@en

Meta-analytic Principal Component Analysis in Integrative Omics Application.

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P1476

Meta-analytic Principal Component Analysis in Integrative Omics Application.

@en

P2093

Dongwan Kang

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George C Tseng

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SungHwan Kim

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

Yongseok Park

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Zhiguang Huo

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P2860

The Cancer Genome Atlas Pan-Cancer analysis project

Comprehensive identification of cell cycle-regulated genes of the yeast Saccharomyces cerevisiae by microarray hybridization

Statistical Methods in Integrative Genomics

JOINT AND INDIVIDUAL VARIATION EXPLAINED (JIVE) FOR INTEGRATED ANALYSIS OF MULTIPLE DATA TYPES.

Using high-throughput transcriptomic data for prognosis: a critical overview and perspectives.

Principal-component-analysis eigenvalue spectra from data with symmetry-breaking structure.

Applying stability selection to consistently estimate sparse principal components in high-dimensional molecular data.

Integrative molecular concept modeling of prostate cancer progression.

Detecting disease-associated genes with confounding variable adjustment and the impact on genomic meta-analysis: with application to major depressive disorder

Gene expression profiling identifies clinically relevant subtypes of prostate cancer.

P31

scholarly article

P356

10.1093/BIOINFORMATICS/BTX765

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P407

English

P577

2017-11-23T00:00:00Z

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P698

29186328

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P921

principal component analysis

P932

5905607

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