TY - JOUR
T1 - FEPS: Feature Extraction from Protein Sequences webserver
AU - Ismail, Hamid D
AU - Smith, Mary
AU - KC, Dukka B
PY - 2016
Y1 - 2016
N2 - 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.
AB - 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.
M3 - Article
JO - FEPS: Feature Extraction from Protein Sequences webserver
JF - FEPS: Feature Extraction from Protein Sequences webserver
ER -