Development of analysis and summarization techniques for Affymatrix arrays at probe level

Project: Funded researchOther sponsors

Project Details

Description

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.
StatusFinished
Effective start/end date01.12.200601.12.2008

Collaborative partners

Fields of science

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

JKU Focus areas

  • Digital Transformation