Award details

Computational inference of optimal routes for microarray experiments

Reference	E20168
Principal Investigator / Supervisor	Professor Lorenz Wernisch
Co-Investigators / Co-Supervisors	Dr Iosifina Pournara
Institution	Birkbeck College
Department	Biological Sciences
Funding type	Research
Value (£)	165,210
Status	Completed
Type	Research Grant
Start date	01/10/2003
End date	30/09/2006
Duration	36 months

Abstract

The analysis of high-throughput experimental data, for example from microarray experiments, is currently seen as one of the most promising routes to the elucidation of whole networks of regulatory relationships between genes. Often the data are not sufficient to uniquely identify the existence and direction of certain gene interactions and further experiments are necessary. Due to the large amount of information that needs to be considered, it is often difficult for experimentalists to decide which experiments should be done next. The aim of this project is to develop statistical tools that automatically infer optimal experiments from past data for obtaining maximum information on ambiguous regions of a gene interaction network.

Summary

unavailable

Committee	Closed Committee - Engineering & Biological Systems (EBS)
Research Topics	X – not assigned to a current Research Topic
Research Priority	X – Research Priority information not available
Research Initiative	X - not in an Initiative
Funding Scheme	X – not Funded via a specific Funding Scheme

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