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Prediction of Cell Line Sensitivity to Cancer Drugs

The goal of our project is to find a machine learning model that will predict how sensitive a given cell line will be to a certain drug. A common problem in biological research that extends into clinical research is how therapeutic treatments vary across tissue type, disease state, and other variations across biological cells. For example, one drug might be very successful at inhibiting the growth of a certain type of breast cancer tumor. However, there are many different types of breast cancer that are differentiated by mutation status and tissue type and these may not respond equally to the same drug. If a particular drug works in one type of breast cancer, it would be highly useful to know if that drug would perform similarly in other types of breast cancer. Researchers and clinicians would both want to know what characteristics of a cell line may enable or prevent a therapeutic from working in a particular tissue type.