Drug sensitivity prediction constitutes one of the main challenges in personalized medicine.
Critically, the sensitivity of cancer cells to treatment depends on an unknown subset of a …

Background An enduring challenge in personalized medicine is to select right drug for
individual patients. Testing drugs on patients in large clinical trials is one way to assess their …

Targeted therapies and chemotherapies are prevalent in cancer treatment. Identification of
predictive markers to stratify cancer patients who will respond to these therapies remains …

Background Human cancer cell line profiling and drug sensitivity studies provide valuable
information about the therapeutic potential of drugs and their possible mechanisms of action …

Resistance to therapy remains a major cause of cancer treatment failures, resulting in many
cancer-related deaths. Resistance can occur at any time during the treatment, even at the …

Background Drug sensitivity prediction and drug responsive biomarker selection on high-
throughput genomic data is a critical step in drug discovery. Many computational methods …

Drug sensitivity prediction is one of the critical tasks involved in drug designing and
discovery. Recently several online databases and consortiums have contributed to providing …

Precision medicine entails the design of therapies that are matched for each individual
patient. Thus, predictive modeling of drug responses for specific patients constitutes a …

Motivation A prime challenge in precision cancer medicine is to identify genomic and
molecular features that are predictive of drug treatment responses in cancer cells. Although …

Motivation Numerous high-accuracy drug–target affinity (DTA) prediction models, whose
performance is heavily reliant on the drug and target feature information, are developed at …