Integrating Predicted Transcriptome From Multiple Tissues Improves Association Detection

Alvaro N Barbeira, Milton D Pividori, Jiamao Zheng, Heather E Wheeler, Dan L Nicolae, Hae Kyung Im

Research output: Contribution to journal › Article › peer-review

Disciplines

@article{71bfd0015a1d49b4aee78eced095f64e,

title = "Integrating Predicted Transcriptome From Multiple Tissues Improves Association Detection",

author = "Barbeira, {Alvaro N} and Pividori, {Milton D} and Jiamao Zheng and Wheeler, {Heather E} and Nicolae, {Dan L} and Im, {Hae Kyung}",

year = "2018",

month = mar,

day = "31",

doi = "10.1101/292649",

language = "American English",

journal = "bioRxiv",

}

TY - JOUR

T1 - Integrating Predicted Transcriptome From Multiple Tissues Improves Association Detection

AU - Barbeira, Alvaro N

AU - Pividori, Milton D

AU - Zheng, Jiamao

AU - Wheeler, Heather E

AU - Nicolae, Dan L

AU - Im, Hae Kyung

PY - 2018/3/31

Y1 - 2018/3/31

UR - https://www.biorxiv.org/content/biorxiv/early/2018/04/06/292649.full.pdf

U2 - 10.1101/292649

DO - 10.1101/292649

M3 - Article

JO - bioRxiv

JF - bioRxiv

ER -