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Investigating the effect of dependence between conditions with Bayesian Linear Mixed Models for motif activity analysis

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Bibliographische Detailangaben
Zeitschriftentitel: PLOS ONE
Personen und Körperschaften: Lederer, Simone, Heskes, Tom, van Heeringen, Simon J., Albers, Cornelis A.
In: PLOS ONE, 15, 2020, 5, S. e0231824
Format: E-Article
Sprache: Englisch
veröffentlicht:
Public Library of Science (PLoS)
Schlagwörter:
Multidisciplinary
author_facet Lederer, Simone
Heskes, Tom
van Heeringen, Simon J.
Albers, Cornelis A.
Lederer, Simone
Heskes, Tom
van Heeringen, Simon J.
Albers, Cornelis A.
author Lederer, Simone
Heskes, Tom
van Heeringen, Simon J.
Albers, Cornelis A.
spellingShingle Lederer, Simone
Heskes, Tom
van Heeringen, Simon J.
Albers, Cornelis A.
PLOS ONE
Investigating the effect of dependence between conditions with Bayesian Linear Mixed Models for motif activity analysis
Multidisciplinary
author_sort lederer, simone
spelling Lederer, Simone Heskes, Tom van Heeringen, Simon J. Albers, Cornelis A. 1932-6203 Public Library of Science (PLoS) Multidisciplinary http://dx.doi.org/10.1371/journal.pone.0231824 Investigating the effect of dependence between conditions with Bayesian Linear Mixed Models for motif activity analysis PLOS ONE
doi_str_mv 10.1371/journal.pone.0231824
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title Investigating the effect of dependence between conditions with Bayesian Linear Mixed Models for motif activity analysis
title_unstemmed Investigating the effect of dependence between conditions with Bayesian Linear Mixed Models for motif activity analysis
title_full Investigating the effect of dependence between conditions with Bayesian Linear Mixed Models for motif activity analysis
title_fullStr Investigating the effect of dependence between conditions with Bayesian Linear Mixed Models for motif activity analysis
title_full_unstemmed Investigating the effect of dependence between conditions with Bayesian Linear Mixed Models for motif activity analysis
title_short Investigating the effect of dependence between conditions with Bayesian Linear Mixed Models for motif activity analysis
title_sort investigating the effect of dependence between conditions with bayesian linear mixed models for motif activity analysis
topic Multidisciplinary
url http://dx.doi.org/10.1371/journal.pone.0231824
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author Lederer, Simone, Heskes, Tom, van Heeringen, Simon J., Albers, Cornelis A.
author_facet Lederer, Simone, Heskes, Tom, van Heeringen, Simon J., Albers, Cornelis A., Lederer, Simone, Heskes, Tom, van Heeringen, Simon J., Albers, Cornelis A.
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publisher Public Library of Science (PLoS)
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series PLOS ONE
source_id 49
spelling Lederer, Simone Heskes, Tom van Heeringen, Simon J. Albers, Cornelis A. 1932-6203 Public Library of Science (PLoS) Multidisciplinary http://dx.doi.org/10.1371/journal.pone.0231824 Investigating the effect of dependence between conditions with Bayesian Linear Mixed Models for motif activity analysis PLOS ONE
spellingShingle Lederer, Simone, Heskes, Tom, van Heeringen, Simon J., Albers, Cornelis A., PLOS ONE, Investigating the effect of dependence between conditions with Bayesian Linear Mixed Models for motif activity analysis, Multidisciplinary
title Investigating the effect of dependence between conditions with Bayesian Linear Mixed Models for motif activity analysis
title_full Investigating the effect of dependence between conditions with Bayesian Linear Mixed Models for motif activity analysis
title_fullStr Investigating the effect of dependence between conditions with Bayesian Linear Mixed Models for motif activity analysis
title_full_unstemmed Investigating the effect of dependence between conditions with Bayesian Linear Mixed Models for motif activity analysis
title_short Investigating the effect of dependence between conditions with Bayesian Linear Mixed Models for motif activity analysis
title_sort investigating the effect of dependence between conditions with bayesian linear mixed models for motif activity analysis
title_unstemmed Investigating the effect of dependence between conditions with Bayesian Linear Mixed Models for motif activity analysis
topic Multidisciplinary
url http://dx.doi.org/10.1371/journal.pone.0231824