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 - researchr publication related

researchr

You are not signed in
Sign in
Sign up

Javier P. 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. [doi]

The following publications are possibly variants of this publication:

Prediction of Functional Associations between Proteins by Means of a Cost-Sensitive Artificial Neural NetworkJ. P. Florido, Héctor Pomares, Ignacio Rojas, José M. Urquiza, F. Ortuño. iwann 2011: 194-201 [doi]

runs on WebDSL