Article
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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Identifiers and source
- Literature Corpus work
- 6764732c-948f-5bad-a500-110e930d4d29
- DOI
- 10.1101/2025.10.16.682839
