MImemory: Library of PredictDivergence values

In MEET: MEET: Motif Elements Estimation Toolkit

Description

This function calculates divergence values from all combinations possibles of a couple of nucleotides given a matrix of TFBS sequences. The divergence values is calculated only by TFBS positions correlated.

Usage

MImemory(iicc, training.set)

Arguments

iicc	A set of inicial conditions for the MEET-package
training.set	A set of nucleotide sequences

Author(s)

Joan Maynou <[e-mail]>

See Also

MIread

Examples

data(iicc)
data(BackgroundOrganism)
training.set<-iicc$Transcriptionfactor
val.set<-sample(c('A','T','C','G'),ncol(training.set), replace=TRUE,Prob)
res<-detector_2nOrdre_init(training.set, val.set, iicc)
iicc<-c(iicc,res)
iicc$parametersIdeal<-1
MImemory(iicc,training.set)

MEET documentation built on May 2, 2019, 5:52 p.m.