Abstract
Techniques for detecting synthetic lethal mutations in
double gene deletion experiments are emerging as powerful tool for
analysing genes in parallel or overlapping pathways with a shared function.
This paper introduces a logic-based approach that uses synthetic lethal mutations
for mapping genes of unknown function to enzymes in a known metabolic network.
We show how such mappings can be automatically computed by a logical learning
system called eXtended Hybrid Abductive Inductive Learning (XHAIL).
Translated title of the contribution | Inferring the function of genes from synthetic lethal mutations |
---|---|
Original language | English |
Title of host publication | 2nd International Conference on Complex, Intelligent and Software Intensive Systems (from 1st International Workshop on Intelligent Informatics in Biology and Medicine) |
Publisher | IEEE Computer Society |
Publication status | Published - 2008 |
Bibliographical note
Other page information: 667-671Conference Proceedings/Title of Journal: 2nd International Conference on Complex, Intelligent and Software Intensive Systems (from 1st International Workshop on Intelligent Informatics in Biology and Medicine)
Other identifier: 2000835