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Targeted proteomics data interpretation with DeepMRM.

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Bibliographic Details
Title: Targeted proteomics data interpretation with DeepMRM.
Authors: Park J; Bertis, Inc., Seoul 06108, Republic of Korea., Wilkins C; Bertis Bioscience, Inc., San Diego, CA 92121, USA., Avtonomov D; Bertis Bioscience, Inc., San Diego, CA 92121, USA., Hong J; Department of Chemistry, Center for Proteogenomic Research, Korea University, Seoul 02841, Republic of Korea., Back S; Department of Chemistry, Center for Proteogenomic Research, Korea University, Seoul 02841, Republic of Korea., Kim H; Department of Chemistry, Center for Proteogenomic Research, Korea University, Seoul 02841, Republic of Korea., Shulman N; Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA., MacLean BX; Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA., Lee SW; Department of Chemistry, Center for Proteogenomic Research, Korea University, Seoul 02841, Republic of Korea., Kim S; Bertis Bioscience, Inc., San Diego, CA 92121, USA.
Source: Cell reports methods [Cell Rep Methods] 2023 Jul 11; Vol. 3 (7), pp. 100521. Date of Electronic Publication: 2023 Jul 11 (Print Publication: 2023).
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Elsevier Inc Country of Publication: United States NLM ID: 9918227360606676 Publication Model: eCollection Cited Medium: Internet ISSN: 2667-2375 (Electronic) Linking ISSN: 26672375 NLM ISO Abbreviation: Cell Rep Methods Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2667-2375
DOI:10.1016/j.crmeth.2023.100521