DEVELOPMENT AND APPLICATION OF NOVEL COMPUTATIONAL METHODS AND STRATEGIES FOR THE CHARACTERISATION OF HUMAN DISEASES.
Our research focuses on developing computational methods to better understand human diseases. Main research lines:
- Ageing and Age-Related Diseases: Identifying expression patterns in neurological, cancer, and metabolic diseases to study ageing.
- Improving the understanding of molecular mechanisms in brain disorders: a) Generation of single-cell and spatial atlases to decipher sex differences in neurodegenerative diseases (Parkinson’s disease, Alzheimer’s disease, amyotrophic lateral sclerosis and multiple sclerosis); b) Identification of biological pathways in behavioural alteration pathologies (schizophrenia); c) Study of differential sex profiles in neuroinflammation associated with alcohol use disorders, through integrative multi-omics strategies.
- Finding novel biomarkers in cancer: a) Development and application of big-data analysis methods for the identification of novel diagnostic and progression biomarkers in cancer studies; b) Neurobiology of cancer: description of the role of the nervous system in oncological diseases and identification of possible clinical implications in oncology.
- Clinical targets and predictors in metabolic disorders: a) Detection of potential clinical targets in obesity, diabetes and MAFLD (metabolic associated fatty liver disease) through massive analysis of omics data; b) Clinical predictors based on high-throughput technologies and artificial intelligence methods.
PRESENTATION
GET TO KNOW US BETTER
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CIPF Cluster Platform for Research in the Valencian Community
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METAFUN Data Science and Gender
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RESEARCH STAFF
THE PEOPLE WHO MAKE IT ALL POSSIBLE
Francisco García García
fgarcia@cipf.es
Cristina Galiana Roselló
cgaliana@cipf.es
Carla Perpiñá Clerigues
cperpina@cipf.es
Irene Soler Saez
isoler@cipf.es
Borja Gómez Cabañes
bgomezc@cipf.es
Fernando Gordillo González
fgordillo@cipf.es
Rubén Sánchez García
rsanchez@cipf.es
Rubén Grillo Risco
rgrillo@cipf.es
PUBLICATIONS
OUR SCIENTIFIC CONTRIBUTIONS
An integrated approach to identifying sex-specific genes, transcription factors, and pathways relevant to Alzheimer's disease.
NEUROBIOLOGY OF DISEASE 2024 Sep, DOI: 10.1016/j.nbd.2024.106605, Vol. 199, pag. 106605-106605
MetaFun: unveiling sex-based differences in multiple transcriptomic studies through comprehensive functional meta-analysis.
Biology of Sex Differences 2024 Aug, DOI: 10.1186/s13293-024-00640-0, Vol. 15, pag. 66-66
Unveiling sex-based differences in Parkinson's disease: a comprehensive meta-analysis of transcriptomic studies.
Biology of Sex Differences 2022 Nov, DOI: 10.1186/s13293-022-00477-5, Vol. 13, pag. 68-68
