ANTIDOTE: A Metadata-Driven Neural Network for Improving CryoEM 3-D Particle Sorting.

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Bibliographic Details
Title: ANTIDOTE: A Metadata-Driven Neural Network for Improving CryoEM 3-D Particle Sorting.
Authors: Berkeley RF; Department of Chemistry and Biochemistry, University of California, San Diego, La Jolla, CA 92093 USA.; Current address: Skaggs Institute for Chemical Biology, Scripps Research, 10550 North Torrey Pines Road, La Jolla, CA 92037., Cook BD; Department of Chemistry and Biochemistry, University of California, San Diego, La Jolla, CA 92093 USA., Ji D; Department of Chemistry and Biochemistry, University of California, San Diego, La Jolla, CA 92093 USA., Foroughi A; Department of Chemistry and Biochemistry, University of California, San Diego, La Jolla, CA 92093 USA., He Y; Department of Chemistry and Biochemistry, University of California, San Diego, La Jolla, CA 92093 USA.; Current address: Department of Chemical Biology, University of California, Berkeley, Berkeley, CA 94720., Bachochin MJ; Department of Chemistry and Biochemistry, University of California, San Diego, La Jolla, CA 92093 USA., Herzik MA Jr; Department of Chemistry and Biochemistry, University of California, San Diego, La Jolla, CA 92093 USA.
Source: BioRxiv : the preprint server for biology [bioRxiv] 2025 Oct 08. Date of Electronic Publication: 2025 Oct 08.
Publication Type: Journal Article; Preprint
Journal Info: Country of Publication: United States NLM ID: 101680187 Publication Model: Electronic Cited Medium: Internet ISSN: 2692-8205 (Electronic) Linking ISSN: 26928205 NLM ISO Abbreviation: bioRxiv Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2692-8205
DOI:10.1101/2025.10.06.680814