Djork-Arné Clevert
Djork-Arné Clevert
Bayer, Director, Machine Learning Research
Verified email at clevert.de
Title
Cited by
Cited by
Year
Fast and accurate deep network learning by exponential linear units (elus)
DA Clevert, T Unterthiner, S Hochreiter
International Conference on Learning Representations (ICLR), 2015
40182015
A comprehensive assessment of RNA-seq accuracy, reproducibility and information content by the Sequencing Quality Control Consortium
SEQC Consortium
Nature biotechnology 32 (9), 903, 2014
6322014
cn. MOPS: mixture of Poissons for discovering copy number variations in next-generation sequencing data with a low false discovery rate
G Klambauer, K Schwarzbauer, A Mayr, DA Clevert, A Mitterecker, ...
Nucleic acids research 40 (9), e69-e69, 2012
3562012
FABIA: factor analysis for bicluster acquisition
S Hochreiter, U Bodenhofer, M Heusel, A Mayr, A Mitterecker, A Kasim, ...
Bioinformatics 26 (12), 1520-1527, 2010
3192010
A new summarization method for Affymetrix probe level data
S Hochreiter, DA Clevert, K Obermayer
Bioinformatics 22 (8), 943-949, 2006
3072006
Large-scale comparison of machine learning methods for drug target prediction on ChEMBL
A Mayr, G Klambauer, T Unterthiner, M Steijaert, JK Wegner, ...
Chemical science 9 (24), 5441-5451, 2018
2302018
Learning continuous and data-driven molecular descriptors by translating equivalent chemical representations
R Winter, F Montanari, F Noé, DA Clevert
Chemical science 10 (6), 1692-1701, 2019
1812019
I/NI-calls for the exclusion of non-informative genes: a highly effective filtering tool for microarray data
W Talloen, DA Clevert, S Hochreiter, D Amaratunga, L Bijnens, S Kass, ...
Bioinformatics 23 (21), 2897-2902, 2007
1442007
Assessing technical performance in differential gene expression experiments with external spike-in RNA control ratio mixtures
SA Munro, SP Lund, PS Pine, H Binder, DA Clevert, A Conesa, J Dopazo, ...
Nature communications 5 (1), 1-10, 2014
982014
Using transcriptomics to guide lead optimization in drug discovery projects: Lessons learned from the QSTAR project
B Verbist, G Klambauer, L Vervoort, W Talloen, Z Shkedy, O Thas, ...
Drug discovery today 20 (5), 505-513, 2015
782015
Color duplex ultrasound and contrast-enhanced ultrasound in comparison to MS-CT in the detection of endoleak following endovascular aneurysm repair
DA Clevert, N Minaifar, S Weckbach, R Kopp, G Meimarakis, M Reiser
Clinical hemorheology and microcirculation 39 (1–4), 121-132, 2008
782008
De novo generation of hit-like molecules from gene expression signatures using artificial intelligence
O Méndez-Lucio, B Baillif, DA Clevert, D Rouquié, J Wichard
Nature communications 11 (1), 1-10, 2020
742020
Efficient Multi-Objective Molecular Optimization in a Continuous Latent Space
R Winter, F Montanari, A Steffen, H Briem, F Noé, DA Clevert
Chemical Science 10 (34), 8016--8024, 2019
682019
Genome‐wide copy number alterations detection in fresh frozen and matched FFPE samples using SNP 6.0 arrays
M Tuefferd, A De Bondt, I Van Den Wyngaert, W Talloen, T Verbeke, ...
Genes, Chromosomes and Cancer 47 (11), 957-964, 2008
662008
Color Doppler, power Doppler and B-flow ultrasound in the assessment of ICA stenosis: comparison with 64-MD-CT angiography
DA Clevert, T Johnson, EM Jung, PM Flach, TI Strautz, G Ritter, ...
European radiology 17 (8), 2149-2159, 2007
632007
Contrast-enhanced ultrasound versus MS-CT in blunt abdominal trauma
DA Clevert, S Weckbach, N Minaifar, M Stickel, M Reiser
Clinical hemorheology and microcirculation 39 (1–4), 155-169, 2008
582008
High-grade stenoses of the internal carotid artery: comparison of high-resolution contrast enhanced 3D MRA, duplex sonography and power Doppler imaging
DA Clevert, T Johnson, H Michaely, EM Jung, PM Flach, TI Strautz, ...
European journal of radiology 60 (3), 379-386, 2006
562006
Accurate prediction of biological assays with high-throughput microscopy images and convolutional networks
M Hofmarcher, E Rumetshofer, DA Clevert, S Hochreiter, G Klambauer
Journal of chemical information and modeling 59 (3), 1163-1171, 2019
342019
Modeling physico-chemical ADMET endpoints with multitask graph convolutional networks
F Montanari, L Kuhnke, A Ter Laak, DA Clevert
Molecules 25 (1), 44, 2020
312020
Connecting gene expression data from connectivity map and in silico target predictions for small molecule mechanism-of-action analysis
AC Ravindranath, N Perualila-Tan, A Kasim, G Drakakis, S Liggi, ...
Molecular BioSystems 11 (1), 86-96, 2015
312015
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