Computational Biology - Machine Learning Approaches to Biology

Univ.-Prof. Dr. Josef Hochreiter

April 29, 2009, 3:15 p.m. HF 9901

Computational biology is the process of analyzing and interpreting biological data. Currently, a huge amount of biological data is generated through a revolution in biotechnology by new methods for genome sequencing, gene expression measurement, and DNA variation measurements which is completed by medical data. The Institute of Bioinformatics tackles these high-dimensional and noisy data by machine learning and statistical methods.

This talk gives an overview of research projects conducted at the Institute of Bioinformatics. In cooperations with university clinics, we investigate drug targets for viruses (HIV and bird flu), and relationships between single nucleotide polymorphisms and schizophrenia as well as alcohol addiction. Projects with pharmaceutical industry study the dependence between cancer / complex diseases and copy number variations, effects of drugs on gene expression profiles, and the prediction of outcomes of radiation and chemotherapy for patients with cancer.

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