Event submissions
Published
This submission belongs to the session S5. Pharmacogenetics, Omics, and Informatics of the event The 1st International Online Conference on Personalized Medicine
Published date
23 Oct, 2025
Academic Editor
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Enrico MiniCitation
Vy Ong, Kaitlin Lowran, Anna Lokshin, Paul M Stemmer, Seongho Kim, Precision Proteomics for Personalized Medicine: A Unified MS1/MS2 Linear Mixed-Effects Model for Robust Biomarker Identification, in Proceedings of The 1st International Online Conference on Personalized Medicine, 29 October–31 October 2025, MDPI: Basel, Switzerland
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Precision Proteomics for Personalized Medicine: A Unified MS1/MS2 Linear Mixed-Effects Model for Robust Biomarker Identification
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Vy Ong 1,2
Kaitlin Lowran 3
Anna Lokshin 4
Paul M Stemmer 3,5
Seongho Kim 1,2
1. Biostatistics and Bioinformatics Core, Karmanos Cancer Institute, 87 E. Canfield Avenue, Detroit, MI 48201, USA
2. Department of Oncology, Wayne State University School of Medicine, 421 E. Canfield Avenue, Detroit, MI 48201, USA
3. Proteomics Core, Karmanos Cancer Institute, 6135 Woodward Ave. Detroit, MI 48202, USA
4. Department of Medicine and Pathology, University of Pittsburgh Medical Center, 200 Lothrop St., Pittsburgh, PA, 15213-2582, USA
5. Department of Pharmaceutical Sciences, Institute of Environmental Health Sciences, Wayne State University, 6135 Woodward Ave. Detroit, MI 48202, USA
Abstract
Keywords
Pancreatic cancer
proteomics
mass spectrometry
MS1/MS2
Linear Mixed-Effects Model
Data-Independent Acquisition (DIA)
Urinary extracellular vesicles (EVs)
Oral Presentation
1st_IOCPM_talk_VyOng.pdf