Projects per year
Abstract
This paper introduces a new open-source implementation of a nonmonotonic learning method called XHAIL and shows how it can be used for abductive and inductive inference on metabolic networks that are many times larger than could be handled by the preceding prototype. We summarise several implementation improvements that increase its efficiency and we introduce an extended form of language bias that further increases its usability. We investigate the system’s scalability in a case study involving real data previously collected by a Robot Scientist and show how it led to the discovery of an error in a whole-organism model of yeast metabolism.
Original language | English |
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Title of host publication | Inductive Logic Programming |
Subtitle of host publication | 24th International Conference, ILP 2014, Nancy, France, September 14-16, 2014, Revised Selected Papers |
Editors | Jesse Davis, Jan Ramon |
Pages | 33-48 |
Number of pages | 16 |
ISBN (Electronic) | 9783319237084 |
DOIs | |
Publication status | Published - 27 Dec 2015 |
Event | 24th International Conference, ILP 2014 - Nancy, France Duration: 14 Sept 2014 → 16 Sept 2014 |
Publication series
Name | Lecture Notes in Computer Science |
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Publisher | Springer |
Volume | 9046 |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 0302-9743 |
Conference
Conference | 24th International Conference, ILP 2014 |
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Country/Territory | France |
City | Nancy |
Period | 14/09/14 → 16/09/14 |
Keywords
- ILP
- ALP
- ASP
- metabolic networks
- completion
- revision
Fingerprint
Dive into the research topics of 'Nonmonotonic Learning in Large Biological Networks'. Together they form a unique fingerprint.Projects
- 1 Finished
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Symbolic support for scientific reasoning in systems biology
Ray, O. (Principal Investigator)
31/01/14 → 30/04/15
Project: Research
Profiles
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Dr Oliver Ray
- School of Computer Science - Senior Lecturer
- Intelligent Systems Laboratory
Person: Academic , Member