Kinome inhibition states and multiomics data enable prediction of cell viability in diverse cancer types

• Matthew E. Berginski ,

  Contributed equally to this work with: Matthew E. Berginski, Chinmaya U. Joisa

  Roles Conceptualization, Formal analysis, Software, Writing – original draft, Writing – review & editing

  Affiliation Department of Pharmacology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America

  https://orcid.org/0000-0002-4798-3273

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• Chinmaya U. Joisa ,

  Contributed equally to this work with: Matthew E. Berginski, Chinmaya U. Joisa

  Roles Conceptualization, Formal analysis, Validation, Writing – original draft, Writing – review & editing

  Affiliation Joint Department of Biomedical Engineering, University of North Carolina at Chapel Hill and North Carolina State University, Chapel Hill, North Carolina, United States of America

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• Brian T. Golitz,

  Roles Validation

  Affiliation Eshelman Institute for Innovation, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America

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• Shawn M. Gomez

  Roles Conceptualization, Formal analysis, Writing – original draft, Writing – review & editing

  * E-mail: smgomez@unc.edu

  Affiliations Department of Pharmacology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America, Joint Department of Biomedical Engineering, University of North Carolina at Chapel Hill and North Carolina State University, Chapel Hill, North Carolina, United States of America

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