Improving the classification of neuropsychiatric conditions using gene ontology terms as features

Quinn, Thomas, Lee, Samuel, Venkatesh, Svetha and Nguyen, Thin 2019, Improving the classification of neuropsychiatric conditions using gene ontology terms as features, American journal of medical genetics part b: neuropsychiatric genetics, doi: 10.1002/ajmg.b.32727.

Attached Files
Name Description MIMEType Size Downloads

Title Improving the classification of neuropsychiatric conditions using gene ontology terms as features
Author(s) Quinn, ThomasORCID iD for Quinn, Thomas orcid.org/0000-0003-0286-6329
Lee, SamuelORCID iD for Lee, Samuel orcid.org/0000-0002-6805-4051
Venkatesh, SvethaORCID iD for Venkatesh, Svetha orcid.org/0000-0001-8675-6631
Nguyen, ThinORCID iD for Nguyen, Thin orcid.org/0000-0003-3467-8963
Journal name American journal of medical genetics part b: neuropsychiatric genetics
Total pages 11
Publisher Wiley
Place of publication Chichester, Eng.
Publication date 2019
ISSN 1552-4841
1552-485X
Keyword(s) biomarkers
classification
gene expression
machine learning
prediction
Notes In Press
Language eng
DOI 10.1002/ajmg.b.32727
Indigenous content off
Field of Research 0604 Genetics
1103 Clinical Sciences
1109 Neurosciences
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2019, Wiley Periodicals, Inc.
Persistent URL http://hdl.handle.net/10536/DRO/DU:30121187

Document type: Journal Article
Collections: Faculty of Health
School of Medicine
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: 70 Abstract Views, 0 File Downloads  -  Detailed Statistics
Created: Wed, 01 May 2019, 11:20:25 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.