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BiomarkerML: A cloud-based proteomics ML workflow for biomarker discovery

2025-10-17

Abstract excerpt

<h4>Background</h4> High-throughput affinity and mass-spectrometry-based proteomic studies of large clinical cohorts generate high-dimensional proteomic data useful for accelerated disease biomarker discovery. A powerful approach to realizing the potential of these big, complex, and non-linear data, whilst ensuring reproducible results, is to use automated machine learning (ML) and deep learning (DL) pipelines fo...

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Literature Corpus work
6764732c-948f-5bad-a500-110e930d4d29
DOI
10.1101/2025.10.16.682839
Open publication

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BiomarkerML: A cloud-based proteomics ML workflow for biomarker discoveryDOI 10.1101/2025.10.16.682839
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