GSA-Lightning: ultra-fast permutation-based gene set analysis.

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GSA-Lightning: ultra-fast permutation-based gene set analysis.

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2016 nî lūn-bûn

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2016年の論文

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2016年論文

@yue

2016年論文

@zh-hant

2016年論文

@zh-hk

2016年論文

@zh-mo

2016年論文

@zh-tw

2016年论文

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2016年论文

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2016年论文

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name

GSA-Lightning: ultra-fast permutation-based gene set analysis.

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GSA-Lightning: ultra-fast permutation-based gene set analysis.

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GSA-Lightning: ultra-fast permutation-based gene set analysis.

@en

GSA-Lightning: ultra-fast permutation-based gene set analysis.

@nl

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GSA-Lightning: ultra-fast permutation-based gene set analysis.

@en

GSA-Lightning: ultra-fast permutation-based gene set analysis.

@nl

P1476

GSA-Lightning: ultra-fast permutation-based gene set analysis.

@en

P2093

Billy Heung Wing Chang

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

Weidong Tian

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P2860

The Cancer Genome Atlas Pan-Cancer analysis project

Combining Hi-C data with phylogenetic correlation to predict the target genes of distal regulatory elements in human genome.

Analyzing gene expression data in terms of gene sets: methodological issues.

Discovering statistically significant pathways in expression profiling studies.

Down-weighting overlapping genes improves gene set analysis.

A comparison of gene set analysis methods in terms of sensitivity, prioritization and specificity.

Inferring regulatory element landscapes and transcription factor networks from cancer methylomes.

Significance analysis of functional categories in gene expression studies: a structured permutation approach.

A global test for groups of genes: testing association with a clinical outcome.

P304

3029-3031

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P31

scholarly article

P356

10.1093/BIOINFORMATICS/BTW349

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P407

English

P433

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

P478

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

P577

2016-06-13T00:00:00Z

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P698

27296982

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