TIGAR: An Improved Bayesian Tool for Transcriptomic Data Imputation Enhances Gene Mapping of Complex Traits

标题
TIGAR: An Improved Bayesian Tool for Transcriptomic Data Imputation Enhances Gene Mapping of Complex Traits
作者
关键词
transcriptome-wide association studies, nonparametric Bayesian method, gene mapping, gene expression imputation, genetically regulated gene expression, TIGAR
出版物
AMERICAN JOURNAL OF HUMAN GENETICS
Volume 105, Issue 2, Pages 258-266
出版商
Elsevier BV
发表日期
2019-06-20
DOI
10.1016/j.ajhg.2019.05.018

向作者/读者发起求助以获取更多资源

Reprint

联系作者

Find Funding. Review Successful Grants.

Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.

Explore

Publish scientific posters with Peeref

Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.

Learn More