Feeding the machine: Challenges to reproducible predictive modeling in resting-state connectomics

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Bibliographic Details
Main Authors: Andrew Cwiek, Sarah M. Rajtmajer, Bradley Wyble, Vasant Honavar, Emily Grossner, Frank G. Hillary
Format: Article
Language:English
Published: The MIT Press 2022-01-01
Series:Harvard Data Science Review
Online Access:http://dx.doi.org/10.1162/netn_a_00212
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author Andrew Cwiek
Sarah M. Rajtmajer
Bradley Wyble
Vasant Honavar
Emily Grossner
Frank G. Hillary
author_facet Andrew Cwiek
Sarah M. Rajtmajer
Bradley Wyble
Vasant Honavar
Emily Grossner
Frank G. Hillary
author_sort Andrew Cwiek
collection DOAJ
format Article
id doaj-art-e344a1133c4c4c1cb080d898f4492dec
institution OA Journals
issn 2644-2353
language English
publishDate 2022-01-01
publisher The MIT Press
record_format Article
series Harvard Data Science Review
spelling doaj-art-e344a1133c4c4c1cb080d898f4492dec2025-08-20T02:21:42ZengThe MIT PressHarvard Data Science Review2644-23532022-01-0110.1162/netn_a_00212Feeding the machine: Challenges to reproducible predictive modeling in resting-state connectomicsAndrew CwiekSarah M. RajtmajerBradley WybleVasant HonavarEmily GrossnerFrank G. Hillaryhttp://dx.doi.org/10.1162/netn_a_00212
spellingShingle Andrew Cwiek
Sarah M. Rajtmajer
Bradley Wyble
Vasant Honavar
Emily Grossner
Frank G. Hillary
Feeding the machine: Challenges to reproducible predictive modeling in resting-state connectomics
Harvard Data Science Review
title Feeding the machine: Challenges to reproducible predictive modeling in resting-state connectomics
title_full Feeding the machine: Challenges to reproducible predictive modeling in resting-state connectomics
title_fullStr Feeding the machine: Challenges to reproducible predictive modeling in resting-state connectomics
title_full_unstemmed Feeding the machine: Challenges to reproducible predictive modeling in resting-state connectomics
title_short Feeding the machine: Challenges to reproducible predictive modeling in resting-state connectomics
title_sort feeding the machine challenges to reproducible predictive modeling in resting state connectomics
url http://dx.doi.org/10.1162/netn_a_00212
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AT bradleywyble feedingthemachinechallengestoreproduciblepredictivemodelinginrestingstateconnectomics
AT vasanthonavar feedingthemachinechallengestoreproduciblepredictivemodelinginrestingstateconnectomics
AT emilygrossner feedingthemachinechallengestoreproduciblepredictivemodelinginrestingstateconnectomics
AT frankghillary feedingthemachinechallengestoreproduciblepredictivemodelinginrestingstateconnectomics