The group focuses on two parallel research lines: Systems Biology and Statistical Methods for Biomedical Research.
The first line develops mathematical tools and methods for research in Bioinformatics, Computational Biology, and Systems and Synthetic Biology. The methods are applied to analyze and integrate large molecular, omics, and clinical databases in order to understand how the molecular circuits of cells and organisms evolved and work from a Systems perspective.
The Statistical Methods line for Biomedical Research develops and applies statistical models to evaluate health interventions and collaborates closely with clinical and translational research groups. The group works on the design and analysis of clinical studies, on the economic evaluation of health interventions, on the development of advanced methods for survival analysis, and on joint models of longitudinal data.
Alves r; Salvadó B; Milo R; Vilaprinyo E; Sorribas A
Maximization of information transmission influences selection of native phosphorelay architectures.
PeerJ 9 e11558-. .
Bartolome, J; Alves, R; Solsona, F; Teixido, I
EasyModel: user-friendly tool for building and analysis of simple mathematical models in systems biology.
Bioinformatics 36 976-977. .