Evaluating the impact of topological protein features on the negative examples selection

BACKGROUND: Supervised machine learning methods when applied to the problem of automated protein-function prediction (AFP) require the availability of both positive examples (i.e., proteins which are known to possess a given protein function) and negative examples (corresponding to proteins not asso...

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Detalles Bibliográficos
Autores principales: Boldi, Paolo, Frasca, Marco, Malchiodi, Dario
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6245585/
https://www.ncbi.nlm.nih.gov/pubmed/30453879
http://dx.doi.org/10.1186/s12859-018-2385-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6245585/
https://www.ncbi.nlm.nih.gov/pubmed/30453879
http://dx.doi.org/10.1186/s12859-018-2385-x

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