PSSMBLOCK: PSSM BLOCK feature vector

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

Description

In this feature at first PSSM Matrix is divided to Blocks based on Number N which user imports. Then for each Block mean of columns is computed to get 20-dimensional vector, eventually by appending these vectors to each other final feature vector is obtained.

Usage

PSSMBLOCK(pssm_name, N = 5)

Arguments

pssm_name	neme of PSSM Matrix file
N	number of blocks

Value

feature vector that it's length depends on parameter N

References

J.-Y. An, L. Zhang, Y. Zhou, Y.-J. Zhao, and D.-F. J. J. o. c. Wang, "Computational methods using weighed-extreme learning machine to predict protein self-interactions with protein evolutionary information," vol. 9, no. 1, p. 47, 2017.

Examples

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

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