A methodology for evaluating multi-objective evolutionary feature selection for classification in the context of virtual screening
Fernando Jiménez(Universidad de Murcia), Carlos Martínez-Cortés(Universidad Católica de Murcia), José Palma(Universidad de Murcia), Horacio Pérez‐Sánchez(Universidad Católica de Murcia), Gracia Sánchez(Universidad de Murcia)
Cited by 15
Related Papers
MCC950 closes the active conformation of NLRP3 to an inactive state
|Nature Chemical Biology|2019|446
Neural network and deep-learning algorithms used in QSAR studies: merits and drawbacks
|Drug Discovery Today|2018|224
A Comprehensive Docking and MM/GBSA Rescoring Study of Ligand Recognition upon Binding Antithrombin
|Current Topics in Medicinal Chemistry|2017|193
High-Throughput parallel blind Virtual Screening using BINDSURF
|BMC Bioinformatics|2012|190
Managing, Analysing, and Integrating Big Data in Medical Bioinformatics: Open Problems and Future Perspectives
|BioMed Research International|2014|175