Research output per year
Research output per year
Organization profile
Organisation profile
The Bioinformatics platform focuses on analysis centered around multi-omics data, their integration, statistical analysis, developing predictive models and presentation of the results in relevant figures. When needed, additional clinical data are considered and integrated with multi-omics data. Bioinformatics platform also provides training in a variety of disciplines: biostatistics, R programming, data science, transcriptomics data analysis and machine learning.
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Profiles
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Correction: Machine learning for predicting neurodegenerative diseases in the general older population: a cohort study
Aguayo, G. A., Zhang, L., Vaillant, M., Ngari, M., Perquin, M., Moran, V., Huiart, L., Krüger, R., Azuaje, F., Ferdynus, C. & Fagherazzi, G., 31 Jan 2023, In: BMC Medical Research Methodology. 23, 1, p. 32Research output: Contribution to journal › Article › Research
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FIMICS: A panel of long noncoding RNAs for cardiovascular conditions
Firat, H., Zhang, L., Baksi, S., Leszek, P., Schordan, E., Ounzain, S., Kottwitz, J., Patriki, D., Heidecker, B., Lüscher, T. F., Pedrazzini, T., Devaux, Y. & the EU-CardioRNA COST Action (CA17129), Jan 2023, In: Heliyon. 9, 1, e13087.Research output: Contribution to journal › Article › Research › peer-review
Open Access -
Machine learning for predicting neurodegenerative diseases in the general older population: a cohort study
Aguayo, G. A., Zhang, L., Vaillant, M., Ngari, M., Perquin, M., Moran, V., Huiart, L., Krüger, R., Azuaje, F., Ferdynus, C. & Fagherazzi, G., 11 Jan 2023, In: BMC Medical Research Methodology. 23, 1, p. 8 1 p., 8.Research output: Contribution to journal › Article › Research › peer-review
Open Access1 Citation (Scopus)