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ADAPTIVE TESTING OF SNP-BRAIN FUNCTIONAL CONNECTIVITY ASSOCIATION VIA A MODULAR NETWORK ANALYSIS

Due to its high dimensionality and high noise levels, analysis of a large brain functional network may not be powerful and easy to interpret; instead, decomposition of a large network into smaller subcomponents called modules may be more promising as suggested by some empirical evidence. For example...

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Détails bibliographiques
Publié dans:Pac Symp Biocomput
Auteurs principaux: GAO, CHEN, KIM, JUNGHI, PAN, WEI
Format: Artigo
Langue:Inglês
Publié: 2016
Sujets:
Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC5147491/
https://ncbi.nlm.nih.gov/pubmed/27896962
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