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- January 5, 2022.
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- Version 1 (January 4, 2022 - 17:36).
- You are viewing Version 2, the most recent version of this article.
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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC 4.0 International license.
Author Information
- K.G. Daniels1,
- S. Wang2,3,
- M.S. Simic1,
- H.K. Bhargava1,
- S. Capponi2,3,
- Y. Tonai1,
- W. Yu1,
- S. Bianco2,3,&,* and
- W.A. Lim1,*
- 1Cell Design Institute and Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158
- 2Department of Functional Genomics and Cellular Engineering, IBM Almaden Research Center, 650 Harry Rd, San Jose, CA 95120
- 3Center for Cellular Construction, San Francisco, CA, 94158
- ↵*Correspondence to: sbianco{at}altoslabs.com; wendell.lim{at}ucsf.edu.
Posted January 05, 2022.
Exploring the rules of chimeric antigen receptor phenotypic output using combinatorial signaling motif libraries and machine learning
