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seGMM: a new tool to infer sex from massively parallel se... | ResearchHub
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seGMM: a new tool to infer sex from massively parallel sequencing data
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Authors
Sihan Liu
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Sihan Liu
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Qian Zhang
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•
Fengxiao Bu
Published
December 17, 2021
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Preprint Server
Topics
Biology
Bioinformatics
Computer Science
Artificial Intelligence
Genetics
Show all topics
DOI
10.1101/2021.12.16.472877
License
CC-BY-ND
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Supporters
Support the authors with ResearchCoin
Tip RSC
Preprint Server
Topics
Biology
Bioinformatics
Computer Science
Artificial Intelligence
Genetics
Show all topics
DOI
10.1101/2021.12.16.472877
License
CC-BY-ND
Other Formats
PDF
