| Machine Learning analysis of the human infant gut microbiome identifies influential species in type 1 diabetes D Fernández-Edreira, J Liñares-Blanco, C Fernandez-Lozano Expert Systems with Applications 185, 115648, 2021 | 26 | 2021 |
| Microbiome preterm birth DREAM challenge: Crowdsourcing machine learning approaches to advance preterm birth research JL Golob, TT Oskotsky, AS Tang, A Roldan, V Chung, CWY Ha, RJ Wong, ... Cell Reports Medicine 5 (1), 2024 | 12 | 2024 |
| Identification of Prevotella, Anaerotruncus and Eubacterium Genera by Machine Learning Analysis of Metagenomic Profiles for Stratification of Patients Affected by Type I Diabetes D Fernández-Edreira, J Liñares-Blanco, C Fernandez-Lozano Proceedings 54 (1), 50, 2020 | 1 | 2020 |
| VIBES: A consensus subtyping of the vaginal microbiota reveals novel classification criteria D Fernández-Edreira, J Liñares-Blanco, V Patricia, C Fernandez-Lozano Computational and Structural Biotechnology Journal 23, 148-156, 2024 | | 2024 |
| Machine Learning-based analysis of metagenomic profiles for the stratification of patients affected by type I Diabetes D Fernández-Edreira, J Blanco, C Lozano MDPI, 2021 | | 2021 |
| La Inteligencia Artificial como herramienta para la gestión y explotación de datos, informaciones y conocimientos biomédicos en entornos “Big Data” en la nube DF Edreira, JL Blanco, BC Galdo, VMM García, A Pazos I+ S: Revista de la Sociedad Española de Informática y Salud, 30-39, 2021 | | 2021 |
| Aislamiento y caracterización de clones con actividad hidrolasa a partir de una metagenoteca de aguas termales D Fernández Edreira | | 2018 |
Jose Liñares BlancoPostdoctoral researcher – Institute for Computational Biomedicine - Heidelberg UniversityVerified email at udc.es
