bin_motifs: Calculate Motif Membership Probabilty per chromatin loop

Description Usage Arguments Value

View source: R/classification.R

Description

Assuming equal chance of assignment given the matched sequence, this function calculates membership proportion of motifs per chromatin loop.

Usage

1
bin_motifs(motifs, chromLoops, j, M, m)

Arguments

motifs

A dataframe of matched motifs with at least the following attributes:

  • start: an integer denoting the starting coordinate of matched motif

  • stop: an integer denoting the end coordinate of matched motif

chromLoops

A row of a dataframe containing hierarchically clustered chromatin loops. Compatible with output of the annotator3D::cluster function. The row should have at least the following attributes:

  • start: an integer denoting the starting coordinate of the predicted chromatin loop

  • stop: an integer denoting the end coordinate of the predicted chromatin loop

j

An integer denoting the index of the chromatin loop for classification

M

An n-by-m numeric matrix to be used as a dynamic array of one chromatin loop.

m

An integer denoting the number of predicted loops.

Value

M An n-by-m numeric matrix storing calculated membership scores.


NElnour/annotator3D documentation built on Dec. 8, 2019, 9:22 a.m.