k_seperated_bigrame: k_seperated_bigrame feature vector

In BioCool-Lab/R-PSSM: Features Extracted from Position Specific Scoring Matrix (PSSM)

Description

This feature is almost identical to the DPC_PSSM feature, and in fact the DPC feature is part of this feature (for k=1) and for two different columns, considers rows that differ by the size of the unit k.

Usage

k_seperated_bigrame(pssm_name, k)

Arguments

pssm_name	is name of PSSM Matrix file
k	a parameter that specifies separated length between amino acids

Value

a feature vector of length 400

References

Saini, H., et al.(2016) Protein Fold Recognition Using Genetic Algorithm Optimized Voting Scheme and Profile Bigram.

Examples

 w<-k_seperated_bigrame(system.file("extdata", "C7GQS7.txt.pssm", package="PSSMCOOL"),5)

BioCool-Lab/R-PSSM documentation built on Jan. 1, 2022, 2:05 p.m.