University of Nottingham researchers, including some of the Materials for Medical Devices team (Grazziela Figuredo, Eduardo Aguilar) and alumni (Jimiama Mafeni Mase, Reza Omidvar) have just released BioFEFI, a Python Toolkit for Machine Learning.
BioFEFI is an open-source, extensible tool for reproducible Machine Learning Modelling and results interpretation. It was originally designed for QSAR/QSPR modelling in biomaterials discovery, but can be applied to any tabular data classification or regression tasks. Version 1.0.0 contains tools for data visualisation and basic pre-processing, it has a collection of machine learning models and interpretation approaches, including fuzzy fusion.
The theoretical work underpinning the development of the tool can be found in the following articles:
https://doi.org/10.1016/j.neucom.2022.09.053
https://doi.org/10.3390/app112411854
Advanced Materials and Healthcare Technologies, School of Pharmacy, The University of Nottingham University Park Nottingham, NG7 2RD
telephone: +44 (0) 115 846 6246 email: BiomaterialsDiscovery@nottingham.ac.uk