Think globally and solve locally: secondary memory-based network learning for automated multi-species function prediction

BACKGROUND: Network-based learning algorithms for automated function prediction (AFP) are negatively affected by the limited coverage of experimental data and limited a priori known functional annotations. As a consequence their application to model organisms is often restricted to well characterize...

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Detalles Bibliográficos
Autores principales: Mesiti, Marco, Re, Matteo, Valentini, Giorgio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4006453/
https://www.ncbi.nlm.nih.gov/pubmed/24843788
http://dx.doi.org/10.1186/2047-217X-3-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4006453/
https://www.ncbi.nlm.nih.gov/pubmed/24843788
http://dx.doi.org/10.1186/2047-217X-3-5

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