Home » Research » Research programmes » Algorithmic Data Analysis » MudFun: Data fusion in bioinformatics

MudFun: Data fusion in bioinformatics

Combining multiple data sources in functional genomics for improving genome-wide inferences (MUDFUN) of the Statistical Machine Learning and Bioinformatics group is a research consortium funded by the Academy of Finland as a part of a research program on Systems Biology and Bioinformatics (SYSBIO).

Our bioinformatics research problem is how to take advantage of existing, partially representative data sets of different types to support inferences in biological and medical questions. If this problem can be solved, data analysis methods could use the accumulating body of data, part of which may be publicly available, in supporting genome-wide inferences in new settings and research questions. The developed methods will be applied in a representative set of research problems in two biomedical areas: cancer research and neuroscience.

Consortium home page