MsTargetPeaker: A Quality-Aware Deep Reinforcement Learning Approach for Peak Identification in Targeted Proteomics.

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Bibliographic Details
Title: MsTargetPeaker: A Quality-Aware Deep Reinforcement Learning Approach for Peak Identification in Targeted Proteomics.
Authors: Yang C; Molecular Medicine Research Center, Chang Gung University, Taoyuan, Taiwan. Electronic address: chiyang@mail.cgu.edu.tw., Hsiao YC; Molecular Medicine Research Center, Chang Gung University, Taoyuan, Taiwan; Graduate Institute of Biomedical Sciences, College of Medicine, Chang Gung University, Taoyuan, Taiwan; Department of Surgery, Chang Gung Memorial Hospital, Linkou, Taiwan., Lee CC; Department of Computer Science and Information Engineering, Chang Gung University, Taoyuan, Taiwan; Genomic Medicine Core Laboratory, Chang Gung Memorial Hospital, Linkou, Taiwan., Chu LJ; Molecular Medicine Research Center, Chang Gung University, Taoyuan, Taiwan; Graduate Institute of Biomedical Sciences, College of Medicine, Chang Gung University, Taoyuan, Taiwan; Department of Surgery, Chang Gung Memorial Hospital, Linkou, Taiwan., Yeh TS; Department of Surgery, Chang Gung Memorial Hospital, Linkou, Taiwan; College of Medicine, Chang Gung University, Taoyuan, Taiwan., Cheng PC; Molecular Medicine Research Center, Chang Gung University, Taoyuan, Taiwan., Tang P; Molecular Medicine Research Center, Chang Gung University, Taoyuan, Taiwan; Department of Parasitology, College of Medicine, Chang Gung University, Taoyuan, Taiwan; Molecular Infectious Disease Research Center, Chang Gung Memorial Hospital, Linkou, Taiwan., Yu JS; Molecular Medicine Research Center, Chang Gung University, Taoyuan, Taiwan; Graduate Institute of Biomedical Sciences, College of Medicine, Chang Gung University, Taoyuan, Taiwan; Department of Otolaryngology-Head and Neck Surgery, Chang Gung Memorial Hospital, Taoyuan, Taiwan; Research Center for Food and Cosmetic Safety, College of Human Ecology, Chang Gung University of Science and Technology, Taoyuan, Taiwan. Electronic address: yusong@mail.cgu.edu.tw.
Source: Molecular & cellular proteomics : MCP [Mol Cell Proteomics] 2026 Mar; Vol. 25 (3), pp. 101523. Date of Electronic Publication: 2026 Feb 02.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Inc. on behalf of American Society for Biochemistry and Molecular Biology Country of Publication: United States NLM ID: 101125647 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1535-9484 (Electronic) Linking ISSN: 15359476 NLM ISO Abbreviation: Mol Cell Proteomics Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1535-9484
DOI:10.1016/j.mcpro.2026.101523