Individual Drug Treatment Prediction in Oncology Based on Machine Learning Using Cell Culture Gene Expression Data

Development of individual predictors of clinical drug efficiency becomes the mainstream in modern oncology. According to this approach, for a given patient with known type of cancer and a chosen drug, we should be able to estimate the treatment effect caused by the drug. Almost all works in this field apply machine learning techniques, which perform deep statistical analysis of a set of clinical cases supported by gene expression data for every...