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Enabling network inference methods to handle missing data and outliers
BACKGROUND: The inference of complex networks from data is a challenging problem in biological sciences, as well as in a wide range of disciplines such as chemistry, technology, economics, or sociology. The quantity and quality of the data greatly affect the results. While many methodologies have be...
Enregistré dans:
| Publié dans: | BMC Bioinformatics |
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| Auteurs principaux: | , , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
BioMed Central
2015
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4559359/ https://ncbi.nlm.nih.gov/pubmed/26335628 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-015-0717-7 |
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