Remote Homology Detection Through Discriminative Statistical Relational Learning
Joel Bruno Santos da Costa, Juliana S. Bernardes, VĂtor Santos Costa and Gerson Zaverucha
September 2008
Abstract
An important problem in Computational Molecular Biology is the
detection of remote homologues. We show that discriminative models,
such as CRFs, can be useful in this task, and that we can elegantly
encode structural information through logic, in frameworks such as
TildeCRF.
Bibtex
@InProceedings{santosdacosta-strebio08,
author = {J. B. Santos da Costa and J. S. Bernardes and V. Santos Costa and G. Zaverucha},
title = {{Remote Homology Detection Through Discriminative Statistical Relational Learning}},
booktitle = {Proceedings of Workshop on Statistical and Relational Learning in
Bioinformatics (StReBio 2008)},
editor = {J. Ramon and F. Costa and C. FlorĂȘncio and J. Kok},
month = {September},
year = {2008},
address = {Antwerp, Belgium},
}
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