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Resources and Research
Innovation at PBL
PBL not only provides cutting-edge proteomics services but also disseminates promising research via academic conferences, publications, and poster presentations. On this page, you will find organized materials and insights produced by the experts at PBL. If you are interested in information not listed below, please reach out to us on our Contact page.
Recent Publications
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An Inflection Point in High-Throughput Proteomics
with Orbitrap Astral: Analysis of Biofluids, Cells, and Tissues (Hendricks et al., 2024) - Assessment of a 60-Biomarker Health Surveillance Panel (HSP) on Whole Blood from Remote Sampling Devices by Targeted LC/MRM-MS and Discovery DIA-MS Analysis (Whelan et al., 2023)
Recent Posters
Statistics and Machine Learning
PBL strives to simplify and present valuable clinical insights derived from proteomic data. In addition to refined statistics, utilizing advanced computational techniques, data infrastructure and machine learning provides a fantastic opportunity to improve the quality and value of potential biomarkers and curate targeted protein panels.
Exploratory Analysis
Data is filtered and analyzed to find statistically significant relationships and optimal features
ML Models
Valuable insights are derived from Tree Models + Regression + Support Vector Machines
Performance Evaluation
The computational path to results is assessed with Model + Importance Metrics