Application of principal component analysis to distinguish patients with schizophrenia from healthy controls based on fractional anisotropy measurements.
Please log in to take part in the discussion (add own reviews or comments).
Cite this publication
More citation styles
- please select -
%0 Journal Article
%1 journals/neuroimage/CaprihanPC08
%A Caprihan, Arvind
%A Pearlson, Godfrey D.
%A Calhoun, Vincent D.
%D 2008
%J NeuroImage
%K dblp
%N 2
%P 675-682
%T Application of principal component analysis to distinguish patients with schizophrenia from healthy controls based on fractional anisotropy measurements.
%U http://dblp.uni-trier.de/db/journals/neuroimage/neuroimage42.html#CaprihanPC08
%V 42
@article{journals/neuroimage/CaprihanPC08,
added-at = {2018-11-14T00:00:00.000+0100},
author = {Caprihan, Arvind and Pearlson, Godfrey D. and Calhoun, Vincent D.},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2c005984e77682e03f7b86feb209aa0cc/dblp},
ee = {https://www.wikidata.org/entity/Q36935221},
interhash = {0946ac963ef0b9a10f71a922db91897a},
intrahash = {c005984e77682e03f7b86feb209aa0cc},
journal = {NeuroImage},
keywords = {dblp},
number = 2,
pages = {675-682},
timestamp = {2019-09-27T07:34:59.000+0200},
title = {Application of principal component analysis to distinguish patients with schizophrenia from healthy controls based on fractional anisotropy measurements.},
url = {http://dblp.uni-trier.de/db/journals/neuroimage/neuroimage42.html#CaprihanPC08},
volume = 42,
year = 2008
}