lfa
The software tool "lfa" (logistic factor analysis) addresses the challenge of analyzing genome-wide genotype data from individuals of diverse ancestries, focusing on the complex population structure without necessarily interpreting admixture proportions. This Bioconductor R package introduces two probabilistic models alongside computationally efficient algorithms for their estimation. Initially, it leverages principal component analysis to estimate a general model encompassing the Pritchard-Stephens-Donnelly admixture model. Recognizing limitations in this approach, lfa advances a novel framework for logistic factor analysis, directly modeling the logit transformation of genotype probabilities through latent variables that reflect population structure.
Topic
Statistics and probability;DNA polymorphism;Structure analysis
Detail
Operation: Principal component plotting
Software interface: Command-line user interface,Library
Language: R
License: The GNU General Public License v3.0
Cost: Free
Version name: 2.2.0
Credit: NIH
Input: -
Output: -
Contact: Alejandro Ochoa alejandro.ochoa@duke.edu
Collection: -
Maturity: Stable
Publications
- Probabilistic models of genetic variation in structured populations applied to global human studies.
- Hao W, et al. Probabilistic models of genetic variation in structured populations applied to global human studies. Probabilistic models of genetic variation in structured populations applied to global human studies. 2016; 32:713-21. doi: 10.1093/bioinformatics/btv641
- https://doi.org/10.1093/bioinformatics/btv641
- PMID: 26545820
- PMC: PMC4795615
Download and documentation
Source: https://bioconductor.org/packages/release/bioc/src/contrib/lfa_2.2.0.tar.gz
Documentation: https://bioconductor.org/packages/release/bioc/manuals/lfa/man/lfa.pdf
Home page: http://bioconductor.org/packages/release/bioc/html/lfa.html
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