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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2014
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| 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 |