Statistical Bioinformatics

Development of more advanced statistical and machine learning methodologies is required to keep pace with new experimental technologies in molecular biology and genetics. Challenges to be met include dealing with increased volumes of data, improving the robustness of inference to noise in the data, and improving the models to make them biologically more realistic.

Here we present some examples of work under this research theme. Further details can be obtained from the lead contact.