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PRS-on-Spark: a novel, efficient and flexible approach fo... | ResearchHub
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PRS-on-Spark: a novel, efficient and flexible approach for generating polygenic risk scores
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Authors
Lawrence Chen
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Lawrence Chen
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Lawrence Chen
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Kieran O’Donnell
Published
November 8, 2017
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Preprint Server
Topics
Biology
Bioinformatics
Computer Science
Mathematics
Python (Programming Language)
Show all topics
DOI
10.1101/209833
License
CC-BY-NC-ND
Other Formats
PDF
Supporters
Support the authors with ResearchCoin
Tip RSC
Preprint Server
Topics
Biology
Bioinformatics
Computer Science
Mathematics
Python (Programming Language)
Show all topics
DOI
10.1101/209833
License
CC-BY-NC-ND
Other Formats
PDF
