pssm_ac: auto covariance transformation feature vector

Description Usage Arguments Value Note References Examples

View source: R/AC.R

Description

The AC variable measures the correlation of the same property between two residues separated by a distance of lg along the sequence

Usage

1
pssm_ac(pssm_name, lg = 18)

Arguments

pssm_name

name of the PSSM Matrix file

lg

a parameter which indicates distance between two residues

Value

feature vector which its length depends on parameter lg

Note

in use of this function The lg parameter must be less than the length of the smallest sequence in the database.

References

Dong, Q., Zhou, S. and Guan, J. (2009) A new taxonomy-based protein fold recognition approach based on autocross-covariance transformation, Bioinformatics, 25, 2655-2662.

Examples

1
q<-pssm_ac(system.file("extdata", "C7GQS7.txt.pssm", package="PSSMCOOL"),17)

Example output



PSSMCOOL documentation built on Oct. 25, 2020, 5:07 p.m.