Protein function classification based on gene ontology

Authors:
Dae-Won Park;Hyoung-Sam Heo;Hyuk-Chul Kwon;Hea-Young Chung
Affiliations:
Department of Computer Science & Engineering, Pusan National University, Busan, Korea;Interdisciplinary Program of Bioinformatics, Pusan National University, Busan, Korea;Department of Computer Science & Engineering, Pusan National University, Busan, Korea;Department of Pharmacy, Pusan National University, Busan, Korea
Venue:
AIRS'05 Proceedings of the Second Asia conference on Asia Information Retrieval Technology
Year:
2005

Citing 1
Cited 0

Selecting text features for gene name classification: from documents to terms

BioMed '03 Proceedings of the ACL 2003 workshop on Natural language processing in biomedicine - Volume 13

Quantified Score

Hi-index	0.00

Visualization

Abstract

Most proteins interact with other proteins, cells, tissues or diseases. They have biological functions and can be classified according to their functions. With the functions and the functional relations of proteins, we can explain many biological phenomena and obtain answers in solving biological problems. Therefore, it is important to determine the functions of proteins. In this paper we present a protein function classification method for the function prediction of proteins. With human proteins assigned to GO molecular function terms, we measure the similarity of proteins to function classes using the functional distribution.