Machine Learning-Based Fragment Selection Improves the Performance of Qualitative PRM Assays-Reference-Cited by-同舟云学术

Machine Learning-Based Fragment Selection Improves the Performance of Qualitative PRM Assays

Published:2022-07-18 Issue:8 Volume:21 Page:2045-2054
ISSN:1535-3893
Container-title:Journal of Proteome Research
language:en
Short-container-title:J. Proteome Res.

Author:

Vanderboom Patrick M.¹^ORCID,Renuse Santosh¹²,Maus Anthony D.¹^ORCID,Madugundu Anil K.¹³⁴⁵,Kemp Jennifer V.¹,Gurtner Kari M.¹,Singh Ravinder J.¹,Grebe Stefan K.¹⁶,Pandey Akhilesh¹²⁵^ORCID,Dasari Surendra⁷

Affiliation:

1. Department of Laboratory Medicine and Pathology, Division of Clinical Biochemistry and Immunology, Mayo Clinic, Rochester, Minnesota 55905, United States

2. Center for Individualized Medicine, Mayo Clinic, Rochester, Minnesota 55905, United States

3. Institute of Bioinformatics, International Technology Park, Bangalore 560066, Karnataka, India

4. Manipal Academy of Higher Education, Manipal 576104, Karnataka, India

5. Center for Molecular Medicine, National Institute of Mental Health and Neurosciences, Hosur Road, Bangalore 560029, Karnataka, India

6. Department of Medicine, Division of Endocrinology, Mayo Clinic, Rochester, Minnesota 55902, United States

7. Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota 55905, United States

Funder

Department of Laboratory Medicine and Pathology, Rochester, MN

Publisher

American Chemical Society (ACS)

Subject

General Chemistry,Biochemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jproteome.2c00156

Reference20 articles.

1. Large-Scale Interlaboratory Study to Develop, Analytically Validate and Apply Highly Multiplexed, Quantitative Peptide Assays to Measure Cancer-Relevant Proteins in Plasma

2. Inter-laboratory evaluation of instrument platforms and experimental workflows for quantitative accuracy and reproducibility assessment

3. Multiplex targeted mass spectrometry assay for one-shot flavivirus diagnosis

4. Establishing a mass spectrometry-based system for rapid detection of SARS-CoV-2 in large clinical sample cohorts

5. Inter-Laboratory Agreement of Insulin-like Growth Factor 1 Concentrations Measured Intact by Mass Spectrometry

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