Persistent homology analysis of brain transcriptome data in autism.
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ABSTRACT:
SUBMITTER: Shnier D
PROVIDER: S-EPMC6769309 | biostudies-literature | 2019 Sep
REPOSITORIES: biostudies-literature
Publications
Persistent homology analysis of brain transcriptome data in autism.
Shnier Daniel D Voineagu Mircea A MA Voineagu Irina I
Journal of the Royal Society, Interface 20190925 158
Persistent homology methods have found applications in the analysis of multiple types of biological data, particularly imaging data or data with a spatial and/or temporal component. However, few studies have assessed the use of persistent homology for the analysis of gene expression data. Here we apply persistent homology methods to investigate the global properties of gene expression in post-mortem brain tissue (cerebral cortex) of individuals with autism spectrum disorders (ASD) and matched co ...[more]
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