DEVELOPMENT AND APPLICATION OF NOVEL COMPUTATIONAL METHODS AND STRATEGIES FOR THE CHARACTERISATION OF HUMAN DISEASES
The advance of high-throughput technologies, the increase in biological and clinical knowledge, and the potential of computational approaches provide an exciting research scenario for the generation of novel and useful biomedical knowledge. The research of the Bioinformatics and Biostatistics Unit is carried out within this scientific framework, focusing on the following lines of research:
- Characterisation of sex differences in neurodegenerative diseases (Parkinson’s disease, Alzheimer’s disease and multiple sclerosis) using multi-omic approaches and medical imaging.
- Development and application of big-data analysis methods for the identification of new diagnostic and progression biomarkers in cancer studies.
- Clinical predictors based on high-performance technologies and artificial intelligence methods.
Presentation
Get to know us better
Research Staff
The people who make it all possible
Francisco García García
fgarcia@cipf.es
Marta Rosa Hidalgo García
mhidalgo@cipf.es
Irene Soler Saez
isoler@cipf.es
Rubén Grillo Risco
rgrillo@cipf.es
Borja Gómez Cabañes
bgomezc@cipf.es
Fernando Gordillo González
fgordillo@cipf.es
Zoraida Andreu Martínez
zandreu@cipf.es
Rubén Sánchez García
rsanchez@cipf.es
Publications
Our scientific contributions
Unveiling sex-based differences in Parkinson's disease: a comprehensive meta-analysis of transcriptomic studies.
López-Cerdán A, Andreu Z, Hidalgo MR, Grillo-Risco R, Català-Senent JF, Soler-Sáez I, Neva-Alejo A, Gordillo F, de la Iglesia-Vayá M and García-García F
Biology of Sex Differences, 2022 Nov, DOI: 10.1186/s13293-022-00477-5, Vol. 13, pag. 68-68
Common pathways and functional profiles reveal underlying patterns in Breast, Kidney and Lung cancers.
Romera-Giner S, Andreu Martínez Z, García-García F and Hidalgo MR
Biology Direct, 2021 May, DOI: 10.1186/s13062-021-00293-8, Vol. 16, pag. 9-9
Hepatic steatosis and steatohepatitis: a functional meta-analysis of sex-based differences in transcriptomic studies.
Català-Senent JF, Hidalgo MR, Berenguer M, Parthasarathy G, Malhi H, Malmierca-Merlo P, de la Iglesia-Vayá M and García-García F
Biology of Sex Differences, 2021 Mar, DOI: 10.1186/s13293-021-00368-1, Vol. 12, pag. 29-29
Functional Signatures in Non-Small-Cell Lung Cancer: A Systematic Review and Meta-Analysis of Sex-Based Differences in Transcriptomic Studies
I. PEREZ-DIEZ, M. HIDALGO, P. MALMIERCA-MERLO, Z. ANDREU, S. ROMERA-GINER, R. FARRAS, M. DE LA IGLESIA-VAYA, M. PROVENCIO, A. ROMERO and F. GARCIA-GARCIA
Cancers, 2021 Jan, DOI: 10.3390/cancers13010143, Vol. 13, pag.
Unveiling Sex-Based Differences in the Effects of Alcohol Abuse: A Comprehensive Functional Meta-Analysis of Transcriptomic Studies.
Casanova Ferrer F, Pascual M, Hidalgo MR, Malmierca-Merlo P, Guerri C and García-García F
Genes, 2020 Sep, DOI: 10.3390/genes11091106, Vol. 11, pag.
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