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Unified Feature Association Networks through Integration of Transcriptomic and Proteomic Data

ABSTRACT: Transcriptomic and proteomic data from human cells infected with Dengue virus was used to infer a number of networks to determine which network inference methods were best for linking protiens and transcripts in the same network. GENIE3, a random forest method, was found to be the best and once inferred with this method networks were interrogated to gain knowledge regarding host pathogen interactions surrounding Dengue infection.

ORGANISM(S): Homo sapiens

PROVIDER: GSE135079 | GEO | 2019/08/18

REPOSITORIES: GEO

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