Techniques to cope with missing data in host–pathogen protein interaction prediction

Motivation: Approaches that use supervised machine learning techniques for protein–protein interaction (PPI) prediction typically use features obtained by integrating several sources of data. Often certain attributes of the data are not available, resulting in missing values. In particular, our host...

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Detalles Bibliográficos
Autores principales: Kshirsagar, Meghana, Carbonell, Jaime, Klein-Seetharaman, Judith
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2012
Materias:
Original Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3436802/
https://www.ncbi.nlm.nih.gov/pubmed/22962468
http://dx.doi.org/10.1093/bioinformatics/bts375

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3436802/
https://www.ncbi.nlm.nih.gov/pubmed/22962468
http://dx.doi.org/10.1093/bioinformatics/bts375

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