R/smat.r
calc_score_matrix.Rd
Calculate scoring matrix from probability matrices for matching and non-matching sets of neurons
calc_score_matrix(matchmat, randmat, logbase = 2, epsilon = 1e-06)
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. |
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.