Machine learning cross-platform proteomic imputation enables protein quality scoring and replication of epidemiological associations.
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| Title: | Machine learning cross-platform proteomic imputation enables protein quality scoring and replication of epidemiological associations. |
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| Authors: | Li L; Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Boston, MA.; Program in Medical and Population Genetics and the Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, MA., Alaa A; Department of Electrical Engineering and Computer Science, University of California, Berkeley, Berkeley, CA.; University of California, San Francisco, San Francisco, CA., Tan Y; Program in Medical and Population Genetics and the Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, MA.; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA., Demirel I; Massachusetts Institute of Technology, Cambridge, MA., Friedman S; ML4H, Broad Institute of Harvard and MIT, Cambridge, MA., Zha Q; Program in Medical and Population Genetics and the Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, MA.; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA., Tracy R; Department of Pathology and Laboratory Medicine, Larner College of Medicine, University of Vermont, Burlington, VT., Taylor KD; The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA., Yu B; Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX., Ballantyne CM; Department of Medicine, Baylor College of Medicine, Houston, TX., Deo R; Division of Cardiovascular Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA., Dubin R; Department of Medicine, University of Texas Southwestern Medical Center, Dallas, TX., Tsai MY; Department of Laboratory Medicine & Pathology, University of Minnesota Medical School, Minneapolis, MN., Peloso GM; Department of Biostatistics, Boston University School of Public Health, Boston, MA., Brody J; Cardiovascular Health Research Unit, Department of Medicine & Deparment of Epidemiology, University of Washington, Seattle, WA., Austin T; Cardiovascular Health Research Unit, Department of Medicine & Deparment of Epidemiology, University of Washington, Seattle, WA., Psaty BM; Cardiovascular Health Research Unit, Department of Medicine & Deparment of Epidemiology, University of Washington, Seattle, WA., Nicholas J; Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC., Raffield LM; Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC., Tahir U; Division of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Boston, MA., Coresh J; Department of Medicine, NYU Grossman School of Medicine, New York, NY, USA., Hornsby W; Program in Medical and Population Genetics and the Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, MA.; Heart and Vascular Institute, Mass General Brigham, Boston, MA., Chan A; Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Boston, MA.; Department of Medicine, Harvard Medical School, Boston, MA., Rich SS; Department of Genome Sciences, University of Virginia, Charlottesville, VA., Rotter JI; The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA., Ganz P; Division of Cardiology, Zuckerberg San Francisco General Hospital and Department of Medicine, University of California San Francisco, San Francisco, CA., Gerszten R; Heart and Vascular Institute, Mass General Brigham, Boston, MA., Philippakis A; Google Ventures, Cambridge, MA., Natarajan P; Program in Medical and Population Genetics and the Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, MA.; Heart and Vascular Institute, Mass General Brigham, Boston, MA.; Department of Medicine, Harvard Medical School, Boston, MA., Yu Z; Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Boston, MA.; Program in Medical and Population Genetics and the Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, MA.; Department of Medicine, Harvard Medical School, Boston, MA. |
| Source: | BioRxiv : the preprint server for biology [bioRxiv] 2026 May 09. Date of Electronic Publication: 2026 May 09. |
| 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 |
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