Djork-Arné Clevert

发表

FABIA: factor analysis for bicluster acquisition

Ulrich Bodenhofer, Adetayo Kasim, Ziv Shkedy, 2010, Bioinform..

Sepp Hochreiter, Andreas Mayr, Djork-Arné Clevert, 2015, NIPS.

Large-scale comparison of machine learning methods for drug target prediction on ChEMBL† †Electronic supplementary information (ESI) available: Overview, Data Collection and Clustering, Methods, Results, Appendix. See DOI: 10.1039/c8sc00148k

Hugo Ceulemans, Sepp Hochreiter, Günter Klambauer, 2018, Chemical science.

Entwicklung und Vergleich biostatistischer Methoden zur Auswertung von Microarray Experimenten

Djork-Arné Clevert, Djork-Arné Clevert, 2012 .

Increasing the discovery power of -omics studies

Hinrich W. H. Göhlmann, Willem Talloen, Andreas Mayr, 2013 .

Learning Continuous and Data-Driven Molecular Descriptors by Translating Equivalent Chemical Representations

Frank Noé, Floriane Montanari, Djork-Arné Clevert, 2018 .

Accurate Prediction of Biological Assays with High-Throughput Microscopy Images and Convolutional Networks

Sepp Hochreiter, Günter Klambauer, Djork-Arné Clevert, 2019, J. Chem. Inf. Model..

Neuraldecipher – reverse-engineering extended-connectivity fingerprints (ECFPs) to their molecular structures

Frank Noé, Djork-Arné Clevert, Tuan Le, 2020, Chemical science.

Rectified factor networks for biclustering of omics data

Sepp Hochreiter, Djork-Arné Clevert, Gundula Povysil, 2017, Bioinform..

Self-supervised feature extraction from image time series in plant phenotyping using triplet networks

Djork-Arné Clevert, Thomas Wolf, Erica Manesso, 2020, Bioinform..

A new summarization method for affymetrix probe level data

Klaus Obermayer, Sepp Hochreiter, Djork-Arné Clevert, 2006, Bioinform..

Modeling Physico-Chemical ADMET Endpoints with Multitask Graph Convolutional Networks

Floriane Montanari, Djork-Arné Clevert, Lara Kuhnke, 2019, Molecules.

Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)

Sepp Hochreiter, Djork-Arné Clevert, Thomas Unterthiner, 2015, ICLR.

Grünifai: Interactive Multiparameter Optimization of Molecules in a Continuous Vector Space

Frank Noé, Djork-Arné Clevert, Andreas Steffen, 2020, Bioinform..

Rectified Factor Networks for Biclustering

Sepp Hochreiter, Djork-Arné Clevert, Thomas Unterthiner, 2017 .

The Affymetrix GeneChip® Microarray Platform

Djork-Arné Clevert, Axel Rasche, 2009 .

PAVOOC: designing CRISPR sgRNAs using 3D protein structures and functional domain annotations

Djork-Arné Clevert, Andreas Steffen, Bertram Weiss, 2018, bioRxiv.

IVE-GAN: Invariant Encoding Generative Adversarial Networks pdf

Djork-Arné Clevert, Robin Winter, 2017, ArXiv.

Efficient multi-objective molecular optimization in a continuous latent space† †Electronic supplementary information (ESI) available: Details of the desirability scaling functions, high resolution figures and detailed results of the GuacaMol benchmark. See DOI: 10.1039/c9sc01928f

Frank Noé, Hans Briem, Floriane Montanari, 2019, Chemical science.

I/NI-calls for the exclusion of non-informative genes: a highly effective filtering tool for microarray data

Hinrich W. H. Göhlmann, Luc Bijnens, Willem Talloen, 2007, Bioinform..

pKPDB: a protein data bank extension database of pKa and pI theoretical values

Miguel Machuqueiro, Djork-Arné Clevert, Pedro B. P. S. Reis, 2021, Bioinform..

FABIA: factor analysis for bicluster acquisition

Ulrich Bodenhofer, Adetayo Kasim, Ziv Shkedy, 2010 .

Informative or Noninformative Calls for Gene Expression: A Latent Variable Approach

Adetayo Kasim, Ziv Shkedy, Hinrich W. H. Göhlmann, 2010, Statistical applications in genetics and molecular biology.

δ-Clustering of Monotone Profiles

Adetayo Kasim, Suzy Van Sanden, Willem Talloen, 2012 .

cn.FARMS: a latent variable model to detect copy number variations in microarray data with a low false discovery rate

Willem Talloen, Sepp Hochreiter, An De Bondt, 2011, Nucleic acids research.

Detection of Nonlinear Effects in Gene Expression Pathways

Sepp Hochreiter, Andreas Mayr, Djork-Arné Clevert, 2010, Nature Precedings.