eVIP2: Expression-based variant impact phenotyping to predict the function of gene variants is a research paper published in PLoS Computational Biology (2021). On theSindex it has a DataRank of 0.373. It has been cited 11 times.
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Base Score Contribution
0.373
From this paper's citation signal
Citation Network Contribution
0
Citation network not refreshed for this result
This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.
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Grant: T32HG008345
Office of the President, University of California
Grant: Eugene Cota-Robles
American Society of Clinical Oncology
Grant: Conquer Cancer Foundation of ASCO Career Development Award
Stand Up To Cancer
Grant: SU2C-AACR-DT22-17
National Cancer Institute
Grant: R00CA197762
National Cancer Institute
Grant: P30 CA015704
National Science Foundation
Grant: DGE-1258485
Damon Runyon Cancer Research Foundation
Grant: Dale F. Frey Award
Cancer Research UK
Grant: C10674/A27140
Cancer Research UK
Grant: 27140
National Institutes of Health
Grant: 1T32HG008345-01
UC Santa Cruz Training Program In Genomic Sciences
National Institutes of Health
Grant: 4R00CA197762-03
Investigating the role of the small GTPase RIT1 in lung adenocarcinoma
National Institutes of Health
Grant: 3P30CA015704-42S2
Cancer Center Support Grant
National Science Foundation
Grant: 1258485
IGERT-CIF21: Big Data U: A Program for Integrated Multidisciplinary Education and Research for Big Data Science
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MeSH Terms
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Sustainable Development Goals