kcell: Kernel matrices for cell lines
In jpvert/kmr4toxicogenetics: Kernel multitask regression for toxicogenetics

A list of example kernel matrices of cell line features.

kcell

A list of 24 kernel matrices for cell lines of three categories of cell line features:

Kcovariates: 4 kernel matrices of cell line covariates provided by the challenge, three of which correspond to a linear kernel of each attribute (sex, population, batch) plus one more combining all three attributes.
KrnaseqRbf: 10 kernel matrices of normalized and NA-fixed RNA-seq counts of cell lines, corresponding to Gaussian RBF kernel with various bandwidth.
KsnpRbf: 10 kernel matrices of genotypic SNP data of cell lines, corresponding to Gaussian RBF kernel with various bandwidth.

Bernard, E., Jiao, Y., Scornet, E., Stoven, V., Walter, T., and Vert, J.-P. (2017). "Kernel multitask regression for toxicogenetics." bioRxiv-171298.

jpvert/kmr4toxicogenetics documentation built on May 24, 2019, 2:04 a.m.