A synthetic data generation pipeline to reproducibly mirror high-resolution multi-variable peptidomics and real-patient clinical data_V2

Résumé fourni par la source

Synthetic datasets generated by a guassian based synthetic generation pipeline that has been deposited in the Github. The evaluation pipeline including the privacy and fidelity analysis reported in this study are available in the public GitHub repository.https://github.com/Atomic-Intelligence/Peptide-synthesis.git The pipeline along with the results of this study are reported in the mauscript below: A synthetic data generation pipeline to reproducibly mirror high-resolution multi-variable peptidomics and real-patient clinical data by Mayra Alejandra Jaimes Campos, Stipe Kabić, Agnieszka Latosinska, Ena Anicic, Justyna Siwy, Vinko Dragušica, Harald Rupprecht, Lorenzo Catanese, Felix Keller, Paul Perco, Enrique Gomez- Gomez, Joachim Beige, Antonia Vlahou, Harald Mischak, Davorin Vukelić, Tomislav Križan, Maria Frantzi doi: https://doi.org/10.1101/2024.10.30.24316342