TY  - JOUR
AU  - Aragones, David G
AU  - Palomino-Segura, Miguel
AU  - Sicilia, Jon
AU  - Crainiciuc, Georgiana
AU  - Ballesteros, Iván
AU  - Sanchez-Cabo, Fatima
AU  - Hidalgo, Andrés
AU  - Calvo, Gabriel F
PY  - 2024
DO  - 10.1016/j.compbiomed.2023.107827
UR  - http://hdl.handle.net/20.500.12105/19277
AB  - Identifying the most relevant variables or features in massive datasets for dimensionality reduction can lead to improved and more informative display, faster computation times, and more explainable models of complex systems. Despite significant...
LA  - eng
PB  - Elsevier
KW  - Algorithms
KW  - Machine Learning
KW  - Principal Component Analysis
TI  - Variable selection for nonlinear dimensionality reduction of biological datasets through bootstrapping of correlation networks.
TY  - journal article
ER  -