FEPS: Feature Extraction from Protein Sequences webserver

Research output: Contribution to journalArticle

Abstract

FEPS (Feature Extraction from Protein Sequence) webserver, a comprehensive web-based feature extraction tool, computes the most common sequence-driven features that are incorporated in 7 feature groups giving rise to 48 feature extraction methods. There are altogether 2765 descriptors that can be calculated using FEPS. The extracted features along with machine learning techniques such as SVM, Random Forest, and K-Nearest Neighbors can be used in various classification problems in bioinformatics like protein function prediction, protein classification, protein structure prediction, protein localization prediction, and others. Click the link to download and read the complete FEPS article.
Original languageEnglish
JournalFEPS: Feature Extraction from Protein Sequences webserver
StatePublished - 2016

Fingerprint

Dive into the research topics of 'FEPS: Feature Extraction from Protein Sequences webserver'. Together they form a unique fingerprint.

Cite this