Research Repository

Protein secondary structure prediction using neural networks and deep learning: a review

Wardah, W, Khan, MGM, Sharma, A and Rashid, Mahmood ORCID: 0000-0003-3347-2381 (2019) Protein secondary structure prediction using neural networks and deep learning: a review. Computational Biology and Chemistry, 81. pp. 1-8. ISSN 1476-9271

Full text for this resource is not available from the Research Repository.
Item Type: Article
Uncontrolled Keywords: protein secondary structure; artificial neural networks; prediction
Subjects: FOR Classification > 0307 Theoretical and Computational Chemistry
FOR Classification > 0601 Biochemistry and Cell Biology
Faculty/School/Research Centre/Department > Institute for Sustainable Industries and Liveable Cities
SWORD Depositor: Symplectic Elements
Depositing User: Symplectic Elements
Date Deposited: 16 Sep 2019 23:41
Last Modified: 07 Oct 2019 04:14
URI: http://vuir.vu.edu.au/id/eprint/39417
DOI: https://doi.org/10.1016/j.compbiolchem.2019.107093
ePrint Statistics: View download statistics for this item
Citations in Scopus: 0 - View on Scopus

Repository staff only

View Item View Item

Search Google Scholar