snpclust-package: Single nucleotide polymorphism unsupervised clustering
In ThomasChln/snpclust: SNP Feature Summarization for Unsupervised Clustering
Description
The R package snpclust performs unsupervised feature selection and summarization based on Principal Component Analysis, Gaussian Mixture Models, and Markov Chain Monte Carlo.
SNPClust is developed for the reclassification of Systemic Autoimmune Diseases based on genetic markers instead of clinical criteria for the European-funded project PRECISESADS (http://precisesads.eu).
The snpclust function is the main function and can be called on a snpgds file path from the R package SNPRelate.
Results can be displayed with several plots. A demo is available in the *SNPClust applied to Europeans* HTML vignette.
ThomasChln/snpclust documentation built on June 11, 2020, 4:27 p.m.
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Description
The R package snpclust performs unsupervised feature selection and summarization based on Principal Component Analysis, Gaussian Mixture Models, and Markov Chain Monte Carlo. SNPClust is developed for the reclassification of Systemic Autoimmune Diseases based on genetic markers instead of clinical criteria for the European-funded project PRECISESADS (http://precisesads.eu). The snpclust function is the main function and can be called on a snpgds file path from the R package SNPRelate. Results can be displayed with several plots. A demo is available in the *SNPClust applied to Europeans* HTML vignette.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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