Multi-subject Stochastic Blockmodels for adaptive analysis of individual differences in human brain network cluster structure

10.1016/j.neuroimage.2020.116611

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Main Authors:	Pavlović, D.M., Guillaume, B.R.L., Towlson, E.K., Kuek, N.M.Y., Afyouni, S., Vértes, P.E., Yeo, B.T.T., Bullmore, E.T., Nichols, T.E.
Other Authors:	LIFE SCIENCES INSTITUTE
Format:	Article
Published:	Academic Press Inc. 2021
Subjects:	Community detection Firth estimation Integrated classification likelihood criterion Likelihood ratio Mixture models Modularity Multi-subject network analysis Network analysis Permutation test Stochastic block model Stochastic blockmodel Variational approximation Wald test
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/198745
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Institution:	National University of Singapore

id	sg-nus-scholar.10635-198745
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spelling	sg-nus-scholar.10635-1987452024-04-04T01:11:06Z Multi-subject Stochastic Blockmodels for adaptive analysis of individual differences in human brain network cluster structure Pavlović, D.M. Guillaume, B.R.L. Towlson, E.K. Kuek, N.M.Y. Afyouni, S. Vértes, P.E. Yeo, B.T.T. Bullmore, E.T. Nichols, T.E. LIFE SCIENCES INSTITUTE BIOMEDICAL ENGINEERING PHYSIOLOGY DEPT OF ELECTRICAL & COMPUTER ENGG Community detection Firth estimation Integrated classification likelihood criterion Likelihood ratio Mixture models Modularity Multi-subject network analysis Network analysis Permutation test Stochastic block model Stochastic blockmodel Variational approximation Wald test 10.1016/j.neuroimage.2020.116611 NeuroImage 220 116611 2021-08-23T03:23:31Z 2021-08-23T03:23:31Z 2020-10-15 Article Pavlović, D.M., Guillaume, B.R.L., Towlson, E.K., Kuek, N.M.Y., Afyouni, S., Vértes, P.E., Yeo, B.T.T., Bullmore, E.T., Nichols, T.E. (2020-10-15). Multi-subject Stochastic Blockmodels for adaptive analysis of individual differences in human brain network cluster structure. NeuroImage 220 : 116611. ScholarBank@NUS Repository. https://doi.org/10.1016/j.neuroimage.2020.116611 10538119 https://scholarbank.nus.edu.sg/handle/10635/198745 Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/ Academic Press Inc. Scopus OA2020
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
topic	Community detection Firth estimation Integrated classification likelihood criterion Likelihood ratio Mixture models Modularity Multi-subject network analysis Network analysis Permutation test Stochastic block model Stochastic blockmodel Variational approximation Wald test
spellingShingle	Community detection Firth estimation Integrated classification likelihood criterion Likelihood ratio Mixture models Modularity Multi-subject network analysis Network analysis Permutation test Stochastic block model Stochastic blockmodel Variational approximation Wald test Pavlović, D.M. Guillaume, B.R.L. Towlson, E.K. Kuek, N.M.Y. Afyouni, S. Vértes, P.E. Yeo, B.T.T. Bullmore, E.T. Nichols, T.E. Multi-subject Stochastic Blockmodels for adaptive analysis of individual differences in human brain network cluster structure
description	10.1016/j.neuroimage.2020.116611
author2	LIFE SCIENCES INSTITUTE
author_facet	LIFE SCIENCES INSTITUTE Pavlović, D.M. Guillaume, B.R.L. Towlson, E.K. Kuek, N.M.Y. Afyouni, S. Vértes, P.E. Yeo, B.T.T. Bullmore, E.T. Nichols, T.E.
format	Article
author	Pavlović, D.M. Guillaume, B.R.L. Towlson, E.K. Kuek, N.M.Y. Afyouni, S. Vértes, P.E. Yeo, B.T.T. Bullmore, E.T. Nichols, T.E.
author_sort	Pavlović, D.M.
title	Multi-subject Stochastic Blockmodels for adaptive analysis of individual differences in human brain network cluster structure
title_short	Multi-subject Stochastic Blockmodels for adaptive analysis of individual differences in human brain network cluster structure
title_full	Multi-subject Stochastic Blockmodels for adaptive analysis of individual differences in human brain network cluster structure
title_fullStr	Multi-subject Stochastic Blockmodels for adaptive analysis of individual differences in human brain network cluster structure
title_full_unstemmed	Multi-subject Stochastic Blockmodels for adaptive analysis of individual differences in human brain network cluster structure
title_sort	multi-subject stochastic blockmodels for adaptive analysis of individual differences in human brain network cluster structure
publisher	Academic Press Inc.
publishDate	2021
url	https://scholarbank.nus.edu.sg/handle/10635/198745
_version_	1795374749285613568

Multi-subject Stochastic Blockmodels for adaptive analysis of individual differences in human brain network cluster structure

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