Djork-Arné Clevert
Pfizer (United States)(US)Pfizer (Germany)(DE)
Publications by Year
Research Areas
Computational Drug Discovery Methods, Machine Learning in Materials Science, Gene expression and cancer classification, Protein Structure and Dynamics, Cell Image Analysis Techniques
Most-Cited Works
- → Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)(2015)2,311 cited
- → Large-scale comparison of machine learning methods for drug target prediction on ChEMBL(2018)589 cited
- → Learning continuous and data-driven molecular descriptors by translating equivalent chemical representations(2018)507 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
- → De novo generation of hit-like molecules from gene expression signatures using artificial intelligence(2020)399 cited
- → Artificial intelligence for natural product drug discovery(2023)341 cited
- → FABIA: factor analysis for bicluster acquisition(2010)304 cited
- → Efficient multi-objective molecular optimization in a continuous latent space(2019)271 cited
- → A new summarization method for affymetrix probe level data(2006)258 cited
- → Assessing technical performance in differential gene expression experiments with external spike-in RNA control ratio mixtures(2014)139 cited