Canonical correlation analysis for identifying biotypes of depression

Advanced search
Browse by:

Department | Year

UCL Theses | Latest

Deposit your research

Canonical correlation analysis for identifying biotypes of depression

Mihalik, A; Adams, RA; Huys, Q; (2020) Canonical correlation analysis for identifying biotypes of depression. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging , 5 (5) pp. 478-480. 10.1016/j.bpsc.2020.02.002. Green open access

Preview

Text
Adams_Canonical correlation analysis for identifying biotypes of depression_Pre-Proof.pdf - Accepted Version
Download (420kB) | Preview

Type:	Article
Title:	Canonical correlation analysis for identifying biotypes of depression
Open access status:	An open access version is available from UCL Discovery
DOI:	10.1016/j.bpsc.2020.02.002
Publisher version:	https://doi.org/10.1016/j.bpsc.2020.02.002
Language:	English
Additional information:	This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
UCL classification:	UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Division of Psychiatry UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI:	https://discovery.ucl.ac.uk/id/eprint/10091733

Downloads since deposit

404Downloads

Download activity - last month

Download activity - last 12 months

Downloads by country - last 12 months

Archive Staff Only

View Item