tx_variance_explained: tx_variance_explained
In CshlSiepelLab/DENR: Deconvolution of Expression for Nascent RNA Sequencing Data

Calculates fraction of variance in the data explained per transcript/combination of n transcripts at a locus.

1	tx_variance_explained(models, abundance, data, masks, n = 1)

`models`	the matrix of transcript models
`abundance`	a vector of abundance values, one per model
`data`	a vector of count data
`masks`	an integer vector of positions to be masked
`n`	the number of model with non-zero abundance that can be used to explain variance. If fewer models available it will use all available models. Note that some models correspond to multiple transcripts due to high similarity in co-ordinates.

a vector of the variance explained per model where the names indicate the models each entry corresponds to. When there are multiple models being used they are seperated by a "_" delimiter

CshlSiepelLab/DENR documentation built on July 16, 2021, 10:42 p.m.