Prediction of protein subcellular location using the information entropy and the auto covariance transformation

Guo, Tingwei, Fan, Zichuan, Wang, Guodong and Zhang, Zili 2018, Prediction of protein subcellular location using the information entropy and the auto covariance transformation, in ACAI 2018 : Proceedings of the 2018 International Conference on Algorithms, Computing and Artificial Intelligence, Association for Computing Machinery, New York, N.Y., pp. 1-5, doi: 10.1145/3302425.3302486.

Attached Files
Name Description MIMEType Size Downloads

Title Prediction of protein subcellular location using the information entropy and the auto covariance transformation
Author(s) Guo, Tingwei
Fan, Zichuan
Wang, Guodong
Zhang, ZiliORCID iD for Zhang, Zili orcid.org/0000-0002-8721-9333
Conference name Algorithms, Computing and Artificial Intelligence. International conference (2018 : Sanya, China)
Conference location Sanya, China
Conference dates 2018/12/21 - 2018/12/23
Title of proceedings ACAI 2018 : Proceedings of the 2018 International Conference on Algorithms, Computing and Artificial Intelligence
Publication date 2018
Conference series Algorithms, Computing and Artificial Intelligence International conference
Start page 1
End page 5
Total pages 5
Publisher Association for Computing Machinery
Place of publication New York, N.Y.
Keyword(s) Protein subcellular location
Information entropy
Auto covariance transformation
Machine learning based method
ISBN 9781450366250
Language eng
DOI 10.1145/3302425.3302486
HERDC Research category E1 Full written paper - refereed
Copyright notice ©2018, Association for Computing Machinery
Persistent URL http://hdl.handle.net/10536/DRO/DU:30121548

Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 0 times in TR Web of Science
Scopus Citation Count Cited 0 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 33 Abstract Views, 0 File Downloads  -  Detailed Statistics
Created: Tue, 14 May 2019, 13:37:16 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.