A hybrid supervised approach to human population identification using genomics data

Araghi, Sahar and Nguyen, Thanh Thi 2019, A hybrid supervised approach to human population identification using genomics data, IEEE/ACM transactions on computational biology and bioinformatics, pp. 1-12, doi: 10.1109/tcbb.2019.2919501.

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Title A hybrid supervised approach to human population identification using genomics data
Author(s) Araghi, Sahar
Nguyen, Thanh ThiORCID iD for Nguyen, Thanh Thi orcid.org/0000-0001-9709-1663
Journal name IEEE/ACM transactions on computational biology and bioinformatics
Start page 1
End page 12
Total pages 12
Publisher Institute of Electrical and Electronics Engineers
Place of publication Piscataway, N.J.
Publication date 2019-05-28
ISSN 1545-5963
2374-0043
Keyword(s) Population Structure
Multinomial Classification
PCA
LASSO
Personalised Treatment
Notes In press
Language eng
DOI 10.1109/tcbb.2019.2919501
Indigenous content off
Field of Research 010402 Biostatistics
010401 Applied Statistics
010202 Biological Mathematics
08 Information and Computing Sciences
06 Biological Sciences
01 Mathematical Sciences
Socio Economic Objective 970101 Expanding Knowledge in the Mathematical Sciences
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2019, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30128489

Document type: Journal Article
Collections: Centre for Intelligent Systems Research
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