Article
Explainable machine learning identifies features and thresholds predictive of immunotherapy response.
Scientific reports - 23 May 2026
Tran Khoa A, Addala Venkateswar, Koufariotis Lambros T, Zhang Jia, Wood Scott, Leonard Conrad, Hoeijmakers Lotte L, Blank Christian U, Crispin-Ortuzar Mireia, Williams Elizabeth D, Kondrashova Olga, Pearson John V, Waddell Nicola
Abstract excerpt
The identification of reliable predictors for immunotherapy response remains a critical challenge in precision oncology. Here, we integrated patient clinical features with DNA and RNA sequencing data derived from 229 melanoma samples. We use 138 melanoma samples to develop and train machine learning models predicting patient treatment response. Feature selection included a univariate Mann-Whitney U-test screen...
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