Lilikoi V2.0: a deep learning–enabled, personalized pathway-based R package for diagnosis and prognosis predictions using metabolomics data is a research paper published in GigaScience (2021). On theSindex it has a DataRank of 0. It has been cited 20 times.
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National Institute of Environmental Health Sciences
Grant: LM012373
National Institute of Environmental Health Sciences
Grant: LM012907
U.S. National Library of Medicine
Grant: R01 HD084633
FWCI
1.26
Citation Percentile
0.8%
Citation Trend
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Keywords
Supporting data for "Lilikoi V2.0: a deep-learning enabled, personalized pathway-based R package for diagnosis and prognosis predictions using metabolomics data"
Peer review of "Lilikoi V2.0: a deep learning–enabled, personalized pathway-based R package for diagnosis and prognosis predictions using metabolomics data"
Peer review of "Lilikoi V2.0: a deep learning–enabled, personalized pathway-based R package for diagnosis and prognosis predictions using metabolomics data"
Peer review of "Lilikoi V2.0: a deep learning–enabled, personalized pathway-based R package for diagnosis and prognosis predictions using metabolomics data"