Open Access System for Information Sharing

Login Library

 

Article
Cited 8 time in webofscience Cited 0 time in scopus
Metadata Downloads

Sequence-driven features for prediction of subcellular localization of proteins

Title
Sequence-driven features for prediction of subcellular localization of proteins
Authors
Kim, JKBang, SYChoi, SJ
POSTECH Authors
Choi, SJ
Date Issued
Jan-2006
Publisher
PERGAMON-ELSEVIER SCIENCE LTD
Keywords
protein sequence feature extraction; subcellular localization prediction; support vector machine; SUPPORT VECTOR MACHINES; AMINO-ACID-SEQUENCE; LOCATION
URI
http://oasis.postech.ac.kr/handle/2014.oak/23769
DOI
10.1016/J.PATCOG.200
ISSN
0031-3203
Article Type
Article
Citation
PATTERN RECOGNITION, vol. 39, no. 12, page. 2301 - 2311, 2006-01
Files in This Item:
There are no files associated with this item.

qr_code

  • mendeley

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher

 CHOI, SEUNGJIN
Dept of Computer Science & Enginrg
Read more

Views & Downloads

Browse