Project Details
Description
The aim is to explore links between the structure of chemical compounds and their in vitro effects on cell lines as measured by whole genome transcriptional profiling to increase efficiency in the early phases of drug discovery.
| Status | Finished |
|---|---|
| Effective start/end date | 01.10.2011 → 28.02.2014 |
Collaborative partners
- Johannes Kepler University Linz (lead)
- Johnson & Johnson Pharmaceutical Research & Development (Project partner)
Fields of science
- 106005 Bioinformatics
- 305 Other Human Medicine, Health Sciences
- 102018 Artificial neural networks
- 106041 Structural biology
- 101029 Mathematical statistics
- 106023 Molecular biology
- 106013 Genetics
- 102001 Artificial intelligence
- 106002 Biochemistry
- 101004 Biomathematics
- 101019 Stochastics
- 102003 Image processing
- 103029 Statistical physics
- 101018 Statistics
- 101017 Game theory
- 101016 Optimisation
- 202017 Embedded systems
- 101015 Operations research
- 101014 Numerical mathematics
- 101028 Mathematical modelling
- 101026 Time series analysis
- 101024 Probability theory
- 102032 Computational intelligence
- 102004 Bioinformatics
- 101027 Dynamical systems
- 102013 Human-computer interaction
- 305907 Medical statistics
- 305905 Medical informatics
- 101031 Approximation theory
- 102033 Data mining
- 102 Computer Sciences
- 305901 Computer-aided diagnosis and therapy
- 102019 Machine learning
- 106007 Biostatistics
- 202037 Signal processing
- 202036 Sensor systems
- 202035 Robotics
JKU Focus areas
- Digital Transformation