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    BMCBI
    2005
    160views more  BMCBI 2005»
    Data-poor categorization and passage retrieval for Gene Ontology Annotation in Swiss-Prot
    13 years 6 months ago
    Data-poor categorization and passage retrieval for Gene Ontology Annotation in Swiss-Prot
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    Background: In the context of the BioCreative competition, where training data were very sparse, we investigated two complementary tasks: 1) given a Swiss-Prot triplet, containing...
    Frédéric Ehrler, Antoine Geissbü...
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    BMCBI
    2005
    122views more  BMCBI 2005»
    A neural strategy for the inference of SH3 domain-peptide interaction specificity
    13 years 6 months ago
    A neural strategy for the inference of SH3 domain-peptide interaction specificity
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    Background: The SH3 domain family is one of the most representative and widely studied cases of so-called Peptide Recognition Modules (PRM). The polyproline II motif PxxP that gen...
    Enrico Ferraro, Allegra Via, Gabriele Ausiello, Ma...
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    BMCBI
    2005
    246views more  BMCBI 2005»
    ParPEST: a pipeline for EST data analysis based on parallel computing
    13 years 6 months ago
    ParPEST: a pipeline for EST data analysis based on parallel computing
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    Background: Expressed Sequence Tags (ESTs) are short and error-prone DNA sequences generated from the 5' and 3' ends of randomly selected cDNA clones. They provide an im...
    Nunzio D'Agostino, Mario Aversano, Maria Luisa Chi...
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    BMCBI
    2005
    131views more  BMCBI 2005»
    Regularized Least Squares Cancer Classifiers from DNA microarray data
    13 years 6 months ago
    Regularized Least Squares Cancer Classifiers from DNA microarray data
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    Background: The advent of the technology of DNA microarrays constitutes an epochal change in the classification and discovery of different types of cancer because the information ...
    Nicola Ancona, Rosalia Maglietta, Annarita D'Addab...
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    BMCBI
    2005
    114views more  BMCBI 2005»
    A new decoding algorithm for hidden Markov models improves the prediction of the topology of all-beta membrane proteins
    13 years 6 months ago
    A new decoding algorithm for hidden Markov models improves the prediction of the topology of all-beta membrane proteins
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    Background: Structure prediction of membrane proteins is still a challenging computational problem. Hidden Markov models (HMM) have been successfully applied to the problem of pre...
    Piero Fariselli, Pier Luigi Martelli, Rita Casadio
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