Imperial College London
Alternate

DrOliverRatmann

Faculty of Natural Sciences, Department of Mathematics

Reader in Statistics and Machine Learning for Public Good
 
 
 
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Contact

 

oliver.ratmann05 Website

 
 
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Location

 

525Huxley BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Surmeli:2008:10.1016/j.compbiolchem.2008.06.004,
author = {Surmeli, D and Ratmann, O and Mewes, H-W and Tetko, IV},
doi = {10.1016/j.compbiolchem.2008.06.004},
journal = {Computational Biology and Chemistry},
pages = {375--377},
title = {FunCat functional inference with belief propagation and feature integration},
url = {http://dx.doi.org/10.1016/j.compbiolchem.2008.06.004},
volume = {32},
year = {2008}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Pairwise comparison of sequence data is intensively used for automated functional protein annotation, while graphical models emerge as promising candidates for an integration of various heterogeneous features. We designed a model, termed hRMN that integrates different genomic features and implemented a variant of belief propagation for functional annotation transfer. hRMN allows the assignment of multiple functional categories while avoiding common problems in annotation transfer from heterogeneous datasets, such as an independency of the investigated datasets. We benchmarked this system with large-scale annotation transfer (based on the MIPS FunCat ontology) to proteins of the prokaryotes Bacillus subtilis, Helicobacter pylori, Listeria monocytogenes, and Listeria innocua. hRMN consistently outperformed two competitors in annotation of four bacterial genomes. The developed code is available for download at http://mips.gsf.de/proj/bfab/hRMN.html.
AU  - Surmeli,D
AU  - Ratmann,O
AU  - Mewes,H-W
AU  - Tetko,IV
DO  - 10.1016/j.compbiolchem.2008.06.004
EP  - 377
PY  - 2008///
SN  - 1476-9271
SP  - 375
TI  - FunCat functional inference with belief propagation and feature integration
T2  - Computational Biology and Chemistry
UR  - http://dx.doi.org/10.1016/j.compbiolchem.2008.06.004
UR  - https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000260110700010&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a2bf6146997ec60c407a63945d4e92bb
UR  - https://www.sciencedirect.com/science/article/pii/S1476927108000741
VL  - 32
ER  -
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