ARCHIVES Oktober 2019
New project is funded!
Our project Systems Biology guided Machine Learning in Pharmacogenomics for Predicting Antidepressant Non-Remission In Late-Life Depression has just been granted by the DAAD. The partner in the project is Prof. Daniel Mueller from the University of Toronto. Abstract Late-life depression (LLD), which is the occurrence of major depressive disorder (MDD) in older adults (age ≥60 years),…
Talk by Luis Ceze
Luis Ceze from the University of Washington gave a talk on DNA data storage systems within our MOSLA project meeting at the Department of Mathematics and Computer Science at the University of Marburg.
Our new article has been accepted in Frontiers in Genetics: Martin R, Heider D: ContraDRG: Automatic partial charge prediction by Machine Learning, Frontiers in Genetics 2019, in press. (Link) Abstract In recent years, machine learning techniques have been widely used in biomedical research to predict unseen data based on models trained on experimentally derived data.…