resumo BioISO was implemented as a webserver available at https://bioiso.bio.di.uminho.pt; and integrated into merlin as a plugin. BioISOs implementation as a Python package can also be retrieved from: https://github.com/BioSystemsUM/BioISO
autores Correia, D.M. Ferreira, Jorge Costa e Silva, Elsa Eugénia Maria Ribeiro Pereira Ferreira, Eugénio C. Manuel João Tavares Mendes da Costa Maria Teresa Correia Guedes Lino Neto Cruz, F. Vieira, José Vítor Castro Costa, Manuel João Capela, J. Silva, Elsa Lino-Neto, T. Ribeiro, Eugénia Rocha, Miguel
tem uma área de assunto Ciências Exatas - Ciências da Computação e da Informação - Bioinformática Ciências da Engenharia e Tecnologias - Biotecnologia Industrial
publicada em BMC Bioinformatics Revista BioRxiv Revista Bioinformatics Revista Computational Methods in Applied Sciences Revista Education and Information Technologies Revista Journal of Chemical Information and Modeling Revista
palavras-chave Architectures Autoencoders Collaborative groups De novo molecular design Deep generative models Deep learning Disciplines Gender Generative Adversarial Networks Generative adversarial network Generative model Molecular design Multi-objective evolutionary algorithms Online learning Optimization Recurrent Neural Networks Recurrent neural network Team-based learning
Digital Object Identifier (DOI) https://doi.org/10.1007/978-3-030-72699-7_6 https://doi.org/10.1007/s10639-021-10683-0 https://doi.org/10.1021/acs.jcim.0c01496 https://doi.org/10.1093/bioinformatics/btab013 https://doi.org/10.1101/2021.03.07.434259 https://doi.org/10.1101/2021.07.22.453372 https://doi.org/10.1101/2021.03.07.434259