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Evaluating the effectiveness of using literature features for automated protein phenotype prediction using PHENOstruct

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www.PosterPresentations.com • Only a small fraction of human protein coding genes with HPO annotations (~3000) • Experimental determination of HPO categories for human proteins is a highlyresource-consuming task • One… Click to show full abstract

www.PosterPresentations.com • Only a small fraction of human protein coding genes with HPO annotations (~3000) • Experimental determination of HPO categories for human proteins is a highlyresource-consuming task • One of the prediction tasks in CAFA2 • PHENOstruct is the first computational method for HPO term prediction • Recently developed ontology (Robinson et al. 2008) • Describes disease-related phenotypic abnormalities in human • Based on knowledge bases of human genes and genetic disorders (e.g. OMIM) • Three independent namespaces: Organ abnormality, Inheritance, Onset

Keywords: effectiveness using; phenostruct; using literature; evaluating effectiveness; prediction; literature features

Journal Title: F1000Research
Year Published: 2018

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