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...

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Detalles Bibliográficos
Autores principales: Folch-Fortuny, Abel, Villaverde, Alejandro F., Ferrer, Alberto, Banga, Julio R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4559359/
https://www.ncbi.nlm.nih.gov/pubmed/26335628
http://dx.doi.org/10.1186/s12859-015-0717-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4559359/
https://www.ncbi.nlm.nih.gov/pubmed/26335628
http://dx.doi.org/10.1186/s12859-015-0717-7

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