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Estimating F
ST
and kinship for arbitrary population structures
Alejandro Ochoa,
John D. Storey
Lewis-Sigler Institute for Integrative Genomics
Center for Statistics & Machine Learning
Molecular Biology
Princeton Institute for Computational Science and Engineering
Research output
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Contribution to journal
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Article
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peer-review
32
Scopus citations
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ST
and kinship for arbitrary population structures'. Together they form a unique fingerprint.
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Earth & Environmental Sciences
kinship
100%
population structure
76%
subpopulation
34%
genome
19%
heritability
14%
relatedness
12%
population genetics
11%
genotype
11%
human population
10%
matrix
6%
simulation
4%
parameter
3%
method
2%
Agriculture & Biology
kinship
85%
population structure
61%
genome-wide association study
11%
human population
10%
population genetics
8%
heritability
8%
genotype
6%
genome
5%
methodology
2%
Medicine & Life Sciences
Population
27%
Datasets
22%
Population Genetics
17%
Genome-Wide Association Study
14%
Genotype
10%
Genome
9%