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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...
Autores principales: | Boldi, Paolo, Frasca, Marco, Malchiodi, Dario |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
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 |
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