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GIGSEA: genotype imputed gene set enrichment analysis using GWAS summary level data

SUMMARY: Summary level data of GWAS becomes increasingly important in post-GWAS data mining. Here, we present GIGSEA (Genotype Imputed Gene Set Enrichment Analysis), a novel method that uses GWAS summary statistics and eQTL to infer differential gene expression and interrogate gene set enrichment fo...

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書誌詳細
出版年:Bioinformatics
主要な著者: Zhu, Shijia, Qian, Tongqi, Hoshida, Yujin, Shen, Yuan, Yu, Jing, Hao, Ke
フォーマット: Artigo
言語:Inglês
出版事項: Oxford University Press 2019
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オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC6298047/
https://ncbi.nlm.nih.gov/pubmed/30010968
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/bty529
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