IGES journal club reads the original PrediXcan paper

Haky Im

2021-01-13

UPDATE: The IGES Journal Club has been rescheduled to 27 Jan, 1 pm EDT. We will read Gamazon (2015) Nat Genet (PMID 26258848). Want to know how "transcriptome-wide association studies" work? We've got you covered. @FallinDani will lead the discussion. https://t.co/zNVvv439WM
— Pete Kraft (@GENES_PK) January 13, 2021

Author's bio

Hae Kyung Im develops quantitative and computational methods to uncover hidden patterns in data, which can be translated to benefit people. After trying out physics, manufacturing, information security, and finance, she found a home in academia in the intersection of statistics, genomics, medicine, and big data analytics. She is currently an Assistant Professor in the Section of Medicine, Department of Medicine at the University of Chicago.

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Citation

For attribution, please cite this work as

Haky Im (2021). IGES journal club reads the original PrediXcan paper. IM-Lab. /post/2021/01/13/iges-journal-club-reads-the-original-predixcan-paper/

BibTeX citation

@misc{
  title = "IGES journal club reads the original PrediXcan paper",
  author = "Haky Im",
  year = "2021",
  journal = "IM-Lab",
  note = "/post/2021/01/13/iges-journal-club-reads-the-original-predixcan-paper/"
}