The last years have seen an impressive revolution in the theory and application of bioinformatics since new technologies and the abundance of different types of data to be integrated in a personalized medicine perspective are posing various methodological challenges in different fields such as, for example, single cell analysis [1], individual genome analysis and pan-genomes [2], Multi-omics data analysis and integration with clinical data [3]. In this special issue, we invite researchers to submit primary research focusing on translational bioinformatics methods that, starting from population-based molecular profiling, clinical data, epidemiological data, and other types of data make healthcare decisions tailored to groups of patients or individual patients.

From translational bioinformatics computational methodologies to personalized medicine

Giugno, Rosalba
2022-01-01

Abstract

The last years have seen an impressive revolution in the theory and application of bioinformatics since new technologies and the abundance of different types of data to be integrated in a personalized medicine perspective are posing various methodological challenges in different fields such as, for example, single cell analysis [1], individual genome analysis and pan-genomes [2], Multi-omics data analysis and integration with clinical data [3]. In this special issue, we invite researchers to submit primary research focusing on translational bioinformatics methods that, starting from population-based molecular profiling, clinical data, epidemiological data, and other types of data make healthcare decisions tailored to groups of patients or individual patients.
Personalize Medicine, Algorithms
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11562/1080771
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