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Probabilistic Inference of Biological Networks via Data Integration

There is significant interest in inferring the structure of subcellular networks of interaction. Here we consider supervised interactive network inference in which a reference set of known network links and nonlinks is used to train a classifier for predicting new links. Many types of data are relev...

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Detalles Bibliográficos
Autores principales: Rogers, Mark F., Campbell, Colin, Ying, Yiming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4385617/
https://www.ncbi.nlm.nih.gov/pubmed/25874225
http://dx.doi.org/10.1155/2015/707453