journal.pgen.1010076.pdf Public

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rkati
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2022-04-04
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File Format: pdf (Portable Document Format)
File Title: eQTL mapping using allele-specific count data is computationally feasible, powerful, and provides individual-specific estimates of genetic effects
Page Count: 18
File Size: 3916807
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User rkati@ad.unc.edu has attached journal.pgen.1010076.pdf to eQTL mapping using allele-specific count data is computationally feasible, powerful, and provides individual-specific estimates of genetic effects April 4th, 2022 18:59