Biological activity has a probabilistic nature, and the most appropriate approaches in activity
prediction are based on the theory of probability. The statistical nature of the maximum …

Each pharmaceutical research and development project is aimed at discovering new drugs
for the treatment of certain diseases. The investigation of new pharmaceuticals is carried out …

High throughput and high content screening involve determination of the effect of many
compounds on a given target. As currently practiced, screening for each new target typically …

Disease prediction system is one of the recent research areas in information processing
technologies such as data mining, machine learning and so on. Especially, the classification …

Each biologically active compound possesses a number of biological activities. Its specificity
of action is always relative and is defined by the peculiarities of object, dose, route, etc. On …

Drug sensitivity prediction for individual tumors is a significant challenge in personalized
medicine. Current modeling approaches consider prediction of a single metric of the drug …

We suggest a way of reducing the very high dimension of a functional predictor, X, to a low
number of dimensions chosen so as to give the best predictive performance. Specifically, if X …

Importance of the field: The past decade had witnessed remarkable advances in computer
science which had given rise to many new possibilities including the ability to simulate and …

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 …

The concept of the biological activity spectrum was introduced to describe the properties of
biologically active substances. The PASS (prediction of activity spectra for substances) …