Takis participated in another study which investigated the role of mitochondria in cellular memory (transient or persistent) especially memory related to stress. The study was accepted for publication in Free Radical Biology & Medicine. Abstract (PubMed)
Takis gave a talk at the plenary session on Artificial Intelligence (AI) at the annual Association for Molecular Pathology (AMP2018) meeting in San Antonio, Texas. He presented the work of the group on causal discovery from clinical and biomedical data. AMP2018 Program (Informatics): https://amp18.amp.org/program/program/informatics/ Photo credits: Sabah Kadri
Takis participated in a study which investigated how PACS-2 mediates SIRT1 activity by binding to a disordered region of the latter. SIRT1 is critical for DNA repair and metabolic fitness. The study was accepted for publication in Molecular Cell. Abstract (PubMed) UPDATE 2018-11-08: The paper is now available on the web (pdf).
The CausalMGM server is now live! People can learn causal structures from observational data using our software, by submitting jobs here (http://causalmgm.org). The web server was developed in collaboration with Prof. Chrysanthis group at CS@Pitt. The methodology is described in our recent Bioinformatics paper (here).
Vineet gave an excellent presentation at ECCB 2018 of the paper “piMGM: incorporating multi-source priors in mixed graphical models for learning disease networks”. The paper describes a method to evaluate edge priors and incorporate them in the structure learning of undirected graphs with mixed data. The paper is available from…
