@article{3560,
  keywords = {Humans, Genomics, Algorithms, Cells, Cultured, Virus Replication, Viral Proteins, Influenza, Human, Gene Regulatory Networks, Data Interpretation, Statistical, Datasets as Topic, Dendritic Cells, Orthomyxoviridae},
  author = {Young-Suk Lee and Aaron Wong and Alicja Tadych and Boris Hartmann and Christopher Park and Veronica DeJesus and Irene Ramos and Elena Zaslavsky and Stuart Sealfon and Olga Troyanskaya},
  title = {Interpretation of an individual functional genomics experiment guided by massive public data.},
  abstract = { <p>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.</p> },
  year = {2018},
  journal = {Nat Methods},
  volume = {15},
  pages = {1049-1052},
  month = {2018 Dec},
  issn = {1548-7105},
  doi = {10.1038/s41592-018-0218-5},
  language = {eng},
}