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"An effective, practical and low computational cost framework for the ..."

Javier Perez-Florido et al. (2013)

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DOI: 10.1016/J.NEUCOM.2012.11.040

access: closed

type: Journal Article

metadata version: 2023-12-17

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  - https://dblp.org/rec/journals/ijon/FloridoPRGGU13
Javier Perez-Florido, Héctor Pomares, Ignacio Rojas, Alberto Guillén, Francisco M. Ortuño Guzman, José M. Urquiza:
An effective, practical and low computational cost framework for the integration of heterogeneous data to predict functional associations between proteins by means of Artificial Neural Networks. Neurocomputing 121: 64-78 (2013)

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