Changiz Eslahchi - Department of Computer and Data Sciences, Faculty of Mathematical Sciences, Shahid Beheshti University, Tehran,Iran.

Nowadays, a huge amount of data such as multi-omics data including gene expression, DNA sequences, and demographic information are available that need analysis in order to find latent patterns that give rise to solving biological issues. To this aim, state-of-the-arts approaches such as modeling using graph, machine learning, and deep learning can help to find novel methods for modeling biological systems. Some hot topics in this field are drug-drug interaction prediction, precision medicine, and cancer biomarker detection that can be solved by using the mentioned computational strategies. In this lecture, we going to briefly discuss aforementioned topics and explain a computational solution for some of them.

Biological networks, Machine learning, Precision medicine, Drug recommendation, Cancer