Novel comparison of evaluation metrics for gene ontology classifiers reveals drastic performance differences.

Plyusnin, Ilya; Holm, Liisa; Törönen, Petri

Plyusnin, Ilya; Holm, Liisa; Törönen, Petri.

Affiliation

Plyusnin I; Institute of Biotechnology, Helsinki Institute of Life Sciences, University of Helsinki, Helsinki, Finland.
Holm L; Institute of Biotechnology, Helsinki Institute of Life Sciences, University of Helsinki, Helsinki, Finland.
Törönen P; Research Programme in Organismal and Evolutionary Biology, Faculty of Biosciences, University of Helsinki, Helsinki, Finland.

PLoS Comput Biol ; 15(11): e1007419, 2019 11.

Article in En | MEDLINE | ID: mdl-31682632

Subject(s)

Computational Biology/methods; Molecular Sequence Annotation/classification; Molecular Sequence Annotation/methods; Algorithms; Benchmarking/methods; Databases, Genetic; Databases, Protein; Gene Ontology/trends; Reproducibility of Results; Software

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Full text: 1 Database: MEDLINE Main subject: Computational Biology / Molecular Sequence Annotation Type of study: Prognostic_studies Language: En Year: 2019 Type: Article

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Full text: 1 Database: MEDLINE Main subject: Computational Biology / Molecular Sequence Annotation Type of study: Prognostic_studies Language: En Year: 2019 Type: Article