TY  - GEN 
AU  - Pérez Florido, Javier
AU  - Pomares Cintas, Héctor Emilio
AU  - Rojas Ruiz, Ignacio
AU  - Guillén Perales, Alberto
AU  - Ortuño Guzmán, Francisco Manuel
AU  - Urquiza Ortiz, José Miguel
PY  - 2013
UR  - https://hdl.handle.net/10481/101411
AB  - Nowadays, the uncovering of new functional relationships between proteins is one of the major goals of biological studies. For this task, the integration of evidences from heterogeneous data sources by means of machine learning methodologies has been...
LA  - eng
PB  - Elsevier
KW  - Data integration
KW  - Systems biology
KW  - Multilayer Perceptrons
KW  - Functional linkage network
KW  - Data distribution
TI  - 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
DO  - 10.1016/j.neucom.2012.11.040
ER  -