Within the interdisciplinary Medical Informatics research division, the Faculty of Mathematics and Computer Science – Bioinformatics Group, Prof. Dr. Dominik Heider, offers one position as Research Assistant (Ph.D. student) The open Ph.D. position is an integral part of the collaboration with the Humangenetics department of the University Hospital Marburg and the Center for Addiction and…
In order to optimally benefit from the synergy effects of Bio- and Biomedical Informatics at the University of Marburg, close networking between corresponding Groups and faculties such as Mathematics & Computer Science, Biology, Medicine and Pharmacy are essential. The Symposium will offer an appropriate platform to support such interdisciplinary communication and interaction, to foster collaborations…
Our new article has been accepted in Scientific Data: Hackl T., Martin R., Barenhoff K., Duponchel S., Heider D., Fischer M.G.: Four high-quality draft genome assemblies of the marine heterotrophic nanoflagellate Cafeteria roenbergensis. Scientific Data 2020, 7:29 (Link) Abstract The heterotrophic stramenopile Cafeteria roenbergensis is a globally distributed marine bacterivorous protist. This unicellular flagellate is…
Within the interdisciplinary research project FeatureCloud (https://featurecloud.eu/), the Faculty of Mathematics and Computer Science – Bioinformatics Group, Prof. Dr. Dominik Heider, offers a position as Research Assistant (Ph.D. student) The open Ph.D. position is an integral part of the European FeatureCloud project. The primary objective of FeatureCloud is a novel kind of medical data mining…
Our new article has been accepted in Clinical Gastroenterology and Hepatology: Best J, Bechmann LP, Sowa LP, Sydor S, Dechêne A, Pflanz K, Bedreli S, Schotten C, Geier A, Berg T, Fischer J, Vogel A, Bantel H, Weinmann A, Schattenberg JM, Huber Y, Wege H, von Felden J, Schulze K, Bettinger D, Thimme R, Sinner…
Our project Deep-iAMR: Identification of new antimicrobial resistance targets by high-throughput deep learning has just been granted by the BMBF (031L0209B). The partner in the project is the University of Gießen. Abstract According to the World Health Organization (WHO), antibiotic resistance is one of the biggest threats to global health, food security, and development today.…
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),…
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.…
Our new article has been accepted in Artificial Intelligence in Medicine: Spänig S, Emberger-Klein A, Sowa JP, Canbay A, Menrad K, Heider D: The Virtual Doctor: An Interactive Clinical-Decision-Support System based on Deep Learning for Non-Invasive Prediction of Diabetes, Artificial Intelligence in Medicine 2019, in press. (Link) Abstract Artificial intelligence (AI) will pave the way…
