Identifying Biological Network Structure, Predicting Network Behavior, and Classifying Network State With High Dimensional Model Representation (HDMR)

This work presents an adapted Random Sampling - High Dimensional Model Representation (RS-HDMR) algorithm for synergistically addressing three key problems in network biology: (1) identifying the structure of biological networks from multivariate data, (2) predicting network response under previousl...

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Detalles Bibliográficos
Autores principales: Miller, Miles A., Feng, Xiao-Jiang, Li, Genyuan, Rabitz, Herschel A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3377689/
https://www.ncbi.nlm.nih.gov/pubmed/22723838
http://dx.doi.org/10.1371/journal.pone.0037664

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3377689/
https://www.ncbi.nlm.nih.gov/pubmed/22723838
http://dx.doi.org/10.1371/journal.pone.0037664

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