Publication details
End-to-end workflows for liquid biopsy biotyping analysis using combined MALDI MS and machine learning approach
| Authors | |
|---|---|
| Year of publication | 2025 |
| Type | Article in Periodical |
| Magazine / Source | Analytical Methods |
| MU Faculty or unit | |
| Citation | |
| web | https://pubs.rsc.org/en/content/articlelanding/2025/ay/d5ay01299f |
| Doi | https://doi.org/10.1039/d5ay01299f |
| Keywords | liquid biopsy; MALDI mass spectrometry; machine learning; workflow; clinical plasma analysis |
| Attached files | |
| Description | MALDI MS analysis of liquid biopsy combined with ML enables non-invasive disease screening and monitoring. Here we present an open-source R-based workflow covering all steps from raw data preprocessing to predictive model evaluation. The pipeline is fully customizable and transparent, with validation performed on clinical plasma samples from hemato-oncological patients. This workflow enhances data reproducibility, enables a straightforward end-to-end workflow for liquid biopsy biotyping, and provides a foundation for integrating MALDI MS into routine clinical workflows. |
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