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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