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Predicting Disease Genes from Biomolecular Networks
2018-05-16 00:00:00

报告题目:

Predicting Disease Genes from Biomolecular Networks

报 告 人:

吴方向 教授(中南大学)

报告时间:

2018年05月18日 15:00--16:00

报告地点:

数学院二楼报告厅

报告摘要:

It is well known that a complex disease stems from the malfunctions of some biomolecular networks which control the pathogenesis of the complex disease.Disease genes can be viewed as special nodes in biomolecular networks and are not randomly distributed (located) from existing evidences. The identification of disease genes is critical towards the understanding of complex diseases. We formulated identifying disease genes from a biomolecular network as finding the most possible configuration of the network. Borrowing from statistical mechanics, we employed the Boltzmann distribution to compute the probability of configurations of a network while adopting the Ising model to define the network energy. In this talk, I will present some of our recent results for identifying disease genes from biomolecular networks based on our proposed statistical mechanics-based methods.