FEGS: a novel feature extraction model for protein sequences and its applications.

ABSTRACT:

Background

Feature extraction of protein sequences is widely used in various research areas related to protein analysis, such as protein similarity analysis and prediction of protein functions or interactions.

Results

In this study, we introduce FEGS (Feature Extraction based on Graphical and Statistical features), a novel feature extraction model of protein sequences, by developing a new technique for graphical representation of protein sequences based on the physicochemical properties of amino acids and effectively employing the statistical features of protein sequences. By fusing the graphical and statistical features, FEGS transforms a protein sequence into a 578-dimensional numerical vector. When FEGS is applied to phylogenetic analysis on five protein sequence data set

SUBMITTER: Mu Z 

PROVIDER: S-EPMC8172329 | biostudies-literature | 2021 Jun

REPOSITORIES: biostudies-literature