Knowledge Discovery in Spectral Data by Means of Complex Networks

Knowledge Discovery in Spectral Data by Means of Complex Networks

In the last decade, complex networks have widely been applied to the study of many natural and man-made systems, and to the extraction of meaningful information from the interaction structures created by genes and proteins. Nevertheless, less attention has been devoted to metabonomics, due to the la...

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Bibliographic Details
Main Authors: Stefano Boccaletti, Ernestina Menasalvas, Rider Jaimes-Reategui, Ricardo Sevilla-Escoboza, Claudio Frausto-Reyes, Pascual Palomares Anda, Juan Carlos Martínez Espinosa, José Luis González Solís, David Papo, Massimiliano Zanin, Pedro Sousa
Format: Article
Language:English
Published: MDPI AG 2013-03-01
Series:Metabolites
Subjects:
complex networks
data mining
spectroscopy
classification
Online Access:http://www.mdpi.com/2218-1989/3/1/155

Internet

http://www.mdpi.com/2218-1989/3/1/155

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