A generalizable Cas9/sgRNA prediction model using machine transfer learning with small high-quality datasets.

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Bibliographic Details
Title: A generalizable Cas9/sgRNA prediction model using machine transfer learning with small high-quality datasets.
Authors: Ham DT; Department of Biochemistry, Schulich School of Medicine and Dentistry, London, ON, N6A5C1, Canada., Browne TS; Department of Biochemistry, Schulich School of Medicine and Dentistry, London, ON, N6A5C1, Canada., Banglorewala PN; Department of Biochemistry, Schulich School of Medicine and Dentistry, London, ON, N6A5C1, Canada., Wilson TL; Tesseraqt Optimization Inc, Toronto, ON, Canada., Michael RK; Tesseraqt Optimization Inc, Toronto, ON, Canada., Gloor GB; Department of Biochemistry, Schulich School of Medicine and Dentistry, London, ON, N6A5C1, Canada. ggloor@uwo.ca., Edgell DR; Department of Biochemistry, Schulich School of Medicine and Dentistry, London, ON, N6A5C1, Canada. dedgell@uwo.ca.
Source: Nature communications [Nat Commun] 2023 Sep 07; Vol. 14 (1), pp. 5514. Date of Electronic Publication: 2023 Sep 07.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Nature Pub. Group Country of Publication: England NLM ID: 101528555 Publication Model: Electronic Cited Medium: Internet ISSN: 2041-1723 (Electronic) Linking ISSN: 20411723 NLM ISO Abbreviation: Nat Commun Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:2041-1723
DOI:10.1038/s41467-023-41143-7