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A novel nonlinear dimension reduction approach to infer population structure for low-coverage sequencing data

Published Online: 2021-06-26

Published Print: 2021-12

Authors

Zhang, Miao

Liu, Yiwen

Zhou, Hua

Watkins, Joseph

Zhou, Jin http://orcid.org/0000-0001-7983-0274
Funding

Funding for this research was provided by:

National Institute of General Medical Sciences (GM053275)

National Human Genome Research Institute (HG006139)

National Institute of Diabetes and Digestive and Kidney Diseases (K01DK106116)

National Science Foundation (NSF1740858)

National Heart, Lung, and Blood Institute (R21HL150374)

Directorate for Mathematical and Physical Sciences (DMS-2054253)

National Human Genome Research Institute (HG006139)
License Information

Text and Data Mining valid from 2021-06-26

Version of Record valid from 2021-06-26
More Information

Article History

Received: 1 March 2020

Accepted: 11 June 2021

First Online: 26 June 2021

Declarations

:

: Not applicable.

: Not applicable.

: The authors declare that they have no competing interests.

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