Andreas Mayr
Publications by Year
Research Areas
Computational Drug Discovery Methods, Gene expression and cancer classification, Machine Learning in Materials Science, Genomic variations and chromosomal abnormalities, Metabolomics and Mass Spectrometry Studies
Most-Cited Works
- → DeepTox: Toxicity Prediction using Deep Learning(2016)1,008 cited
- → Large-scale comparison of machine learning methods for drug target prediction on ChEMBL(2018)589 cited
- → Self-Normalizing Neural Networks(2017)515 cited
- → cn.MOPS: mixture of Poissons for discovering copy number variations in next-generation sequencing data with a low false discovery rate(2012)470 cited
- → FABIA: factor analysis for bicluster acquisition(2010)304 cited
- Speeding up Semantic Segmentation for Autonomous Driving(2016)
- → Toxicity Prediction using Deep Learning(2015)92 cited
- → Industry-scale application and evaluation of deep learning for drug target prediction(2020)54 cited
- → Furby: fuzzy force-directed bicluster visualization(2014)52 cited