@article{edff5a4b905a4d2fbc5b5df5879befc6,
title = "Interpretation of an individual functional genomics experiment guided by massive public data",
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.",
author = "Lee, {Young suk} and Wong, {Aaron K.} and Alicja Tadych and Hartmann, {Boris M.} and Park, {Christopher Y.} and DeJesus, {Veronica A.} and Irene Ramos and Elena Zaslavsky and Sealfon, {Stuart C.} and Troyanskaya, {Olga G.}",
note = "Funding Information: We thank R. Dannenfelser for help in processing the TCGA RNA-seq datasets and A. Krishnan for discussions regarding the network evaluations. We greatly appreciate all members of the Troyanskaya lab for their valuable advice and discussions. This work was supported in part by the NIH (grant NIH U19 AI117873 to S.C.S.; grant NIH R01 GM071966 to O.G.T.). O.G.T. is a senior fellow of the Genetic Networks program of the Canadian Institute for Advanced Research (CIFAR). Publisher Copyright: {\textcopyright} 2018, The Author(s), under exclusive licence to Springer Nature America, Inc.",
year = "2018",
month = dec,
day = "1",
doi = "10.1038/s41592-018-0218-5",
language = "English (US)",
volume = "15",
pages = "1049--1052",
journal = "Nature Methods",
issn = "1548-7091",
publisher = "Nature Publishing Group",
number = "12",
}