Repurposed high-throughput image assays enables biological activity prediction for drug discovery

  • Jaak Simm
  • , Günter Klambauer
  • , Adam Arany
  • , Marvin Steijaert
  • , Jörg Wegner
  • , Emmanuel Gustin
  • , Vladimir Chupakhin
  • , Yolanda T. Chong
  • , Jorge Vialard
  • , Peter Buijnsters
  • , Ingrid Velter
  • , Alexander Vapirev
  • , Shantanu Singh
  • , Anne E. Carpenter
  • , Roel Wuyts
  • , Sepp Hochreiter
  • , Yves Moreau
  • , Hugo Ceulemans

Research output: Contribution to journalArticlepeer-review

Original languageEnglish
Pages (from-to)611-618
Number of pages149
JournalCell Chemical Biology
Issue number5
DOIs
Publication statusPublished - 2018

Fields of science

  • 305907 Medical statistics
  • 202017 Embedded systems
  • 202036 Sensor systems
  • 101004 Biomathematics
  • 101014 Numerical mathematics
  • 101015 Operations research
  • 101016 Optimisation
  • 101017 Game theory
  • 101018 Statistics
  • 101019 Stochastics
  • 101024 Probability theory
  • 101026 Time series analysis
  • 101027 Dynamical systems
  • 101028 Mathematical modelling
  • 101029 Mathematical statistics
  • 101031 Approximation theory
  • 102 Computer Sciences
  • 102001 Artificial intelligence
  • 102003 Image processing
  • 102004 Bioinformatics
  • 102013 Human-computer interaction
  • 102018 Artificial neural networks
  • 102019 Machine learning
  • 102032 Computational intelligence
  • 102033 Data mining
  • 305901 Computer-aided diagnosis and therapy
  • 305905 Medical informatics
  • 202035 Robotics
  • 202037 Signal processing
  • 103029 Statistical physics
  • 106005 Bioinformatics
  • 106007 Biostatistics

JKU Focus areas

  • Digital Transformation

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