calc_score_matrix: Calculate scoring matrix from probability matrices for...

View source: R/smat.r

calc_score_matrixR Documentation

Calculate scoring matrix from probability matrices for matching and non-matching sets of neurons

Description

Calculate scoring matrix from probability matrices for matching and non-matching sets of neurons

Usage

calc_score_matrix(matchmat, randmat, logbase = 2, epsilon = 1e-06)

Arguments

matchmat

a probability matrix given by considering 'matching' neurons.

randmat

a probability matrix given by considering 'non-matching' or 'random' neurons.

logbase

the base to which the logarithm should be taken to produce the final scores.

epsilon

a pseudocount to prevent division by zero when constructing the log odds ratio in the probability matrix.

Value

A matrix with with class=c("scoringmatrix", "table"), with columns as specified by dotprodbreaks and rows as specified by distbreaks, containing scores for neuron segments with the given distance and dot product.


nat.nblast documentation built on July 9, 2023, 6:12 p.m.