Biomedical Informatics
Research group
We make use of large-scale biomedical data, such as genetics, genomics, transcriptomics and biological knowledge bases, and data mining algorithms to build applications for biomedical research.
A particular interest of the group is to develop and combine machine learning and network analysis of biological data enabling:
* Biomarker and drug target discovery for precision medicine.
* Integrative analysis of omics and biological knowledge network for exploration of disease mechanisms and ‘molecular actions’ of drugs/compounds.
* Data-driven discovery of disease subtypes/endotypes and identification of related biomarkers.
* Classification models using omics-driven features for in silico prediction of efficacy and/or toxicity in drug discovery.
We have expertise in developing tools for omics data analytics, network and data mining algorithms, and artificial intelligence-based methods, including machine learning.
* Biomarker and drug target discovery for precision medicine.
* Integrative analysis of omics and biological knowledge network for exploration of disease mechanisms and ‘molecular actions’ of drugs/compounds.
* Data-driven discovery of disease subtypes/endotypes and identification of related biomarkers.
* Classification models using omics-driven features for in silico prediction of efficacy and/or toxicity in drug discovery.
We have expertise in developing tools for omics data analytics, network and data mining algorithms, and artificial intelligence-based methods, including machine learning.
Homepage of research group
Keywords
bioinformatics
biomarker discovery
drug target discovery
machine learning
network data mining
omics data analysis
R-based bioinformatics tools
Group members - UEF
-
Vittorio Fortino Academy Research Fellow , School of Medicine, Biomedicine -
Amirhossein Sakhteman Researcher -
Teemu Rintala Early Stage Researcher