Skip to main navigation
Skip to search
Skip to main content
Princeton University Home
Help & FAQ
Home
Profiles
Research units
Facilities
Projects
Research output
Search by expertise, name or affiliation
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
:
Contribution to journal
›
Article
›
peer-review
32
Scopus citations
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Estimating F
ST
and kinship for arbitrary population structures'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Earth & Environmental Sciences
genome
19%
genotype
11%
heritability
14%
human population
10%
kinship
100%
matrix
6%
method
2%
parameter
3%
population genetics
11%
population structure
76%
relatedness
12%
simulation
4%
subpopulation
34%
Agriculture & Biology
genome
5%
genome-wide association study
11%
genotype
6%
heritability
8%
human population
10%
kinship
85%
methodology
2%
population genetics
8%
population structure
61%
Medicine & Life Sciences
Datasets
22%
Genome
9%
Genome-Wide Association Study
14%
Genotype
10%
Population
27%
Population Genetics
17%