Principal Component Analysis, PCA, Gaussian Markov Random Fields, Graphical model,
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Updated
Mar 24, 2018 - R
Principal Component Analysis, PCA, Gaussian Markov Random Fields, Graphical model,
Efficient compression and retrieve of genotype data with integer sparse matrices
Simulation of a pair of Single Nucleotide Polymorphisms (SNPs) and associated binary response (e.g., disease status) based on real SNP data in R.
Powerful CNV calls filtering pipeline. Focused on fixed loci calling, before visual inspection.
R package for the analysis of massive SNP arrays.
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