Keen and Reliable Interface Subroutines for Bioinformatic Analysis
Calculate linear principal component analysis (PCA) from numeric data ...
Calculate linear principal component analysis (PCA) with a projection ...
Calculate the fixation index (Fst) for all SNPs between two groups of ...
Calculate the average fixation index (Fst) between two groups of indiv...
Keen and Reliable Interface Subroutines for bioinformatic analysis
Create scatter plots in three views.
Read the binary PLINK format (BED, BIM, and FAM)
(Internal) Replace missing values with other values,internally used fo...
Unsupervised clustering to detect rough structures and outliers.
Synthetic dataset containing population labels for the dataset simsnp.
Synthetic dataset containing single nucleotide polymorphisms (SNP)
Write a list of SNP object to the binary PLINK format (BED, BIM, and F...
Calculate matrix multipication between a matrix and its transpose for ...
Provides useful functions which are needed for bioinformatic analysis such as calculating linear principal components from numeric data and Single-nucleotide polymorphism (SNP) dataset, calculating fixation index (Fst) using Hudson method, creating scatter plots in 3 views, handling with PLINK binary file format, detecting rough structures and outliers using unsupervised clustering, and calculating matrix multiplication in the faster way for big data.