Population Structure Adjustment
Population Structure Adjustment is a methodological contribution in training population design that modifies the demographic, genetic, or phenotypic composition of a sample population to enhance representativeness, reduce bias, or improve generalizability in model training and inference.
204
Publications
12.7K
Citations
1.2K
Authors
512
Institutions
Publications per year
2017–2026
61
Parents
204
1–5 of 204
1.2K
4
h-index
University of California, Los Angeles, United States
4 publications · 269 citations
4
h-index
3
h-index
2
h-index
Isfahan University of Technology, Iran
2 publications · 80 citations
2
h-index
1–5 of 1.2K
512
Chinese Academy of Agricultural Sciences
Beijing, China
8 h-index
34 publications
2.1K citations
Harvard University
Cambridge, United States
8 h-index
19 publications
2.9K citations
University of California, Davis
Davis, United States
7 h-index
12 publications
927 citations
University of California, Los Angeles
Los Angeles, United States
7 h-index
36 publications
2.2K citations

Centre National de la Recherche Scientifique
Paris, France
6 h-index
11 publications
485 citations
University of Washington
Seattle, United States
5 h-index
20 publications
3.9K citations

Cornell University
Ithaca, United States
5 h-index
8 publications
3.7K citations
University of Pittsburgh
Pittsburgh, United States
4 h-index
8 publications
1.8K citations
1–8 of 512
11 publications · 727 citations
11
h-index
7 publications · 238 citations
7
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7 publications · 310 citations
7
h-index
7 publications · 989 citations
7
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6 publications · 169 citations
6
h-index
1–5