EDP_EEDP_MEDP: EDP_EEDP_MEDP feature vector

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

Description

these are three feature vectors (EDP, EEDP, MEDP) which are used for prediction of protein structural class for low-similarity sequences.at first ED-PSSM Matrix with 20*20 dimensions is constructed from PSSM Matrix then by using this Matrix, EDP and EEDP vectors are obtained eventually MEDP feature vector is obtained by fusing these vectors.

Usage

EDP_EEDP_MEDP(pssm_name)

Arguments

pssm_name

is name of PSSM Matrix file

Value

a list of three feature vectors (EDP, EEDP, MEDP)

References

Zhang, L., Zhao, X. and Kong, L. (2014) Predict protein structural class for low-similarity sequences by evolutionary difference information into the general form of Chou's pseudo amino acid composition, Journal of Theoretical Biology, 355, 105-110.

Examples

X<-EDP_EEDP_MEDP(paste0(system.file("extdata",package="PSSMCOOL"),"/C7GS61.txt.pssm"))

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