LPC_PSSM: Linear predictive coding feature

In PSSMCOOL: Features Extracted from Position Specific Scoring Matrix (PSSM)

Description

This function uses Linear predictive coding algorithm for each column of PSSM Matrix . so in this script lpc function is used which produces a 14-dimensional vector for each column, since PSSM has 20 column eventually it will be obtained a 20*14=280 dimensional feature vector for each PSSM Matrix by this function.

Usage

LPC_PSSM(pssm_name)

Arguments

pssm_name

name of PSSM Matrix file

Value

feature vector of length 280

References

L. Li et al., "PSSP-RFE: accurate prediction of protein structural class by recursive feature extraction from PSI-BLAST profile, physical-chemical property and functional annotations," vol. 9, no. 3, 2014.

Examples

X<-LPC_PSSM(system.file("extdata", "C7GQS7.txt.pssm", package="PSSMCOOL"))

PSSMCOOL documentation built on Jan. 4, 2022, 5:07 p.m.