ADHD diagnosis from multiple data sources with batch effects.
about
Non-negative matrix factorization of multimodal MRI, fMRI and phenotypic data reveals differential changes in default mode subnetworks in ADHDMultivariate classification of blood oxygen level-dependent FMRI data with diagnostic intention: a clinical perspectiveIntrinsic Functional Connectivity in Attention-Deficit/Hyperactivity Disorder: A Science in Development.Attributed graph distance measure for automatic detection of attention deficit hyperactive disordered subjects.Statistical independence for the evaluation of classifier-based diagnosis.
P2860
ADHD diagnosis from multiple data sources with batch effects.
description
2012 nî lūn-bûn
@nan
2012 թուականի Հոկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2012 թվականի հոտեմբերին հրատարակված գիտական հոդված
@hy
2012年の論文
@ja
2012年学术文章
@wuu
2012年学术文章
@zh-cn
2012年学术文章
@zh-hans
2012年学术文章
@zh-my
2012年学术文章
@zh-sg
2012年學術文章
@yue
name
ADHD diagnosis from multiple data sources with batch effects.
@ast
ADHD diagnosis from multiple data sources with batch effects.
@en
type
label
ADHD diagnosis from multiple data sources with batch effects.
@ast
ADHD diagnosis from multiple data sources with batch effects.
@en
prefLabel
ADHD diagnosis from multiple data sources with batch effects.
@ast
ADHD diagnosis from multiple data sources with batch effects.
@en
P2093
P2860
P356
P1476
ADHD diagnosis from multiple data sources with batch effects.
@en
P2093
Emanuele Olivetti
Paolo Avesani
Susanne Greiner
P2860
P356
10.3389/FNSYS.2012.00070
P577
2012-10-08T00:00:00Z