Improved prediction of MAPKi response duration in melanoma patients using genomic data and machine learning
Abstract Baseline genomic data have not demonstrated significant value for predicting the response duration to MAPK inhibitors (MAPKi) in patients with advanced BRAFV600-mutated melanoma. We used machine learning algorithms and pre-processed genomic data to test whether they could contain useful inf...
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| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-07-01
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| Series: | npj Precision Oncology |
| Online Access: | https://doi.org/10.1038/s41698-025-00814-y |
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