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Modeling prediction error improves power of transcriptome-wide association studies
Kunal Bhutani, Abhishek Sarkar, Yongjin Park, Manolis Kellis, Nicholas J. Schork
doi: https://doi.org/10.1101/108316
Kunal Bhutani
1
University of California, San Diego, La Jolla, CA
2
J. Craig Venter Institute, La Jolla, CA
Abhishek Sarkar
3
Massachusetts Institute of Technology, Cambridge, MA
4
Broad Institute of Harvard and MIT, Cambridge, MA
Yongjin Park
3
Massachusetts Institute of Technology, Cambridge, MA
4
Broad Institute of Harvard and MIT, Cambridge, MA
Manolis Kellis
3
Massachusetts Institute of Technology, Cambridge, MA
4
Broad Institute of Harvard and MIT, Cambridge, MA
Nicholas J. Schork
1
University of California, San Diego, La Jolla, CA
2
J. Craig Venter Institute, La Jolla, CA
Article usage
Posted February 14, 2017.
Modeling prediction error improves power of transcriptome-wide association studies
Kunal Bhutani, Abhishek Sarkar, Yongjin Park, Manolis Kellis, Nicholas J. Schork
bioRxiv 108316; doi: https://doi.org/10.1101/108316
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