Systems biology: analysis of molecular-genetic systems and gene network modeling

Currently, the design of efficient algorithms and systems to solve the inverse problem of mathematical modeling continues to be a challenge due to large volume and heterogeneity of biomedical data, as well as high computational complexity of biomedical applications. Variability in biological processes is observed on multiple scales and stems from different origins. Biological systems have evolved means to buffer unpredictable variation. In spite of intensive studies over the past decade, the mechanism of canalization and biological robustness remains controversial.