Projektdetails
Beschreibung
The goal of this project is to develop a summarization technique for Affymetrix gene expression microarrays that is optimized towards identifying candidate probe sets that are able to predict the response of a cell line to a given compound.
The gene expression levels of cell lines of different tumor origin (prostate / lung / colon / etc.) grown under normal laboratory conditions without compound treatment are determined using Affymetrix gene expression microarrays. These arrays measure the presence of various RNA species by binding them to 11 different probes - the so-called probe set.
| Status | Abgeschlossen |
|---|---|
| Tatsächliches Beginn-/Enddatum | 01.12.2006 → 01.12.2008 |
Projektbeteiligte
- Johannes Kepler Universität Linz (Leitung)
- Johnson & Johnson Pharmaceutical Research & Development (Projektpartner*in)
Wissenschaftszweige
- 101031 Approximationstheorie
- 102 Informatik
- 305901 Computerunterstützte Diagnose und Therapie
- 102033 Data Mining
- 102032 Computational Intelligence
- 101029 Mathematische Statistik
- 102013 Human-Computer Interaction
- 305905 Medizinische Informatik
- 101028 Mathematische Modellierung
- 101027 Dynamische Systeme
- 101004 Biomathematik
- 101026 Zeitreihenanalyse
- 101024 Wahrscheinlichkeitstheorie
- 202017 Embedded Systems
- 202037 Signalverarbeitung
- 102019 Machine Learning
- 305907 Medizinische Statistik
- 103029 Statistische Physik
- 202036 Sensorik
- 102018 Künstliche Neuronale Netze
- 202035 Robotik
- 106005 Bioinformatik
- 106007 Biostatistik
- 101019 Stochastik
- 101018 Statistik
- 101017 Spieltheorie
- 102001 Artificial Intelligence
- 101016 Optimierung
- 102004 Bioinformatik
- 101015 Operations Research
- 102003 Bildverarbeitung
- 101014 Numerische Mathematik
JKU-Schwerpunkte
- Digital Transformation