We published a new article in BioData Mining: Ursula Neumann, Mona Riemenschneider, Jan-Peter Sowa, Theodor Baars, Julia Kälsch, Ali Canbay and Dominik Heider: Compensation of feature selection biases accompanied with improved predictive performance for binary classification by using a novel ensemble feature selection approach. BioData Mining 9(1), 36 (2016). (Link) Abstract Motivation Biomarker discovery methods are…
Heiderlab is now part of the Department of Mathematics and Computer Science at the University of Marburg. Currently we have open positions for PhD students and Postdocs at the University of Marburg. Please send your application as a single PDF to dominik.heider@uni-marburg.de
We have one poster at the KDWEB 2016: Neumann U, Heider D: The EFS-Server: A Web-Application for Feature Selection in Binary Classification.
Ulla and Tatjana gave talks on „EFS: Ensemble Feature Selection for Binary Classification“ and „Development of an Android App for non-invasive prediction of nonalcoholic steatohepatitis in daily clinical pratice“ at the Department of Electrical and Electronic Engineering at the University of Cagliari.
Our group recently started a research collaboration with the Intelligent Agents and Soft Computing group at the University of Cagliari, Italy. Ursula, Norma, and Tatjana visited the group in August. Funding The collaboration is supported by a grant from the Federal Ministry of Education and Research…
We published a new article in LaboratoriumsMedizin: Canbay A, Leven A-S, Fingas C, Heider D: Non-alcoholic fatty liver disease (NAFLD): can simple laboratory diagnostics assess progression of NAFLD? LaboratoriumsMedizin 2016, in press. (Link) Abstract Non-alcoholic fatty liver disease (NAFLD) is the hepatic manifestation of the metabolic syndrome. NAFLD may cause liver fibrosis and proceed to…
This year in Berlin! We have three posters at the GCB 2016: Neumann U, Heider D: EFS: An ensemble of feature selection methods for binary classification. Wendel NJ, Schmid J, Sieber V, Heider D: Synthetic Biology Approach for the Development of Customized Polysaccharides. Riemenschneider M, Herbst A, Rasch A, Gorlatch S, Heider D: eccCL: an optimized GPU…
We published a new article in BMC Bioinformatics: Riemenschneider M, Hummel T, Heider D: SHIVA – a web application for drug resistance and tropism testing in HIV. BMC Bioinformatics 2016, 17:314. (Link) Abstract Background: Drug resistance testing is mandatory in antiretroviral therapy in human immunodeficiency virus (HIV) infected patients for successful treatment. The emergence of…
Dominik gave a talk on „Biomarker Discovery in Cancer and Metabolic Disease: A Computational Point of View“ at the Department of Mathematics and Computer Science at the University of Southern Denmark.
Today, we had two guests at our PhD seminar at the Straubing Center of Science. Dr. Alessandro Giuliani (University of Cagliari, Italy) gave a talk on „Using PHI-DELTA diagrams to perform feature ranking: applications in text categorization and bioinformatics scenarios“ and Dr. Kieran Cashin (Burnet Institute / RMIT University, Australia) gave a talk on „Brief…
