Jon Sanchez
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Biography
I am currently a post-doctoral researcher in the Computational Biology group (Life Science department).
Research areas of interest:
- Comorbidity/Multimorbidity
- Molecular point of view
- Electronic Health Records point of view
- Drug-Drug Interactions
Recent publications:
- A molecular hypothesis to explain direct and inverse co-morbidities between Alzheimer's disease, glioblastoma and lung cancer (2017)
- Molecular inverse comorbidity between Alzheimer’s disease and lung cancer: New insights from matrix factorization (2019)
- Transcriptomic metaanalyses of autistic brains reveals shared gene expression and biological pathway abnormalities with cancer (2019)
- Unveiling new disease, pathway, and gene associations via multi-scale neural network (2020)
- Interpreting molecular similarity between patients as a determinant of disease comorbidity relationships (2020)
- Transcriptomic and genetic associations between Alzheimer’s disease, Parkinson’s disease, and cancer (2021)
- COVID-19 Flow-Maps an open geographic information system on COVID-19 and human mobility for Spain (2021)
Collaborations:
- Luis Rocha (Binghamton University)
- Rion Correia (Instituto Gulbenkian de Ciência)
- Vera Pancaldi (Centre Recherche Cancérologie Toulouse and BSC)
- Rafael Tabarés Seisdedos (University of Valencia, CIBERSAM)
- Anaïs Baudot (Aix-Marseille Université, CNRS)
Education
BS in Biology at the Basque Country University
MSci in Microbiology at the Basque Country University
MSci in Bioinformatics at the Instituto de Salud Carlos III
PhD in Computational Biology at the Universidad Autonoma de Madrid