| Literature DB >> 30478325 |
Young-Suk Lee1,2,3, Aaron K Wong4, Alicja Tadych1, Boris M Hartmann5, Christopher Y Park4, Veronica A DeJesus6, Irene Ramos6, Elena Zaslavsky7, Stuart C Sealfon8, Olga G Troyanskaya1,2,4.
Abstract
A key unmet challenge in interpreting omics experiments is inferring biological meaning in the context of public functional genomics data. We developed a computational framework, Your Evidence Tailored Integration (YETI; http://yeti.princeton.edu/ ), which creates specialized functional interaction maps from large public datasets relevant to an individual omics experiment. Using this tailored integration, we predicted and experimentally confirmed an unexpected divergence in viral replication after seasonal or pandemic human influenza virus infection.Entities:
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Year: 2018 PMID： 30478325 PMCID： PMC6941785 DOI： 10.1038/s41592-018-0218-5
Source DB: PubMed Journal: Nat Methods ISSN： 1548-7091 Impact factor: 28.547