Cargando…
Multi-Omics Model Applied to Cancer Genetics
In this review, we focus on bioinformatic oncology as an integrative discipline that incorporates knowledge from the mathematical, physical, and computational fields to further the biomedical understanding of cancer. Before providing a deeper insight into the bioinformatics approach and utilities in...
Autores principales: | Pettini, Francesco, Visibelli, Anna, Cicaloni, Vittoria, Iovinelli, Daniele, Spiga, Ottavia |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8199287/ https://www.ncbi.nlm.nih.gov/pubmed/34072237 http://dx.doi.org/10.3390/ijms22115751 |
Ejemplares similares
-
Bioinformatics Approaches to Predict Mutation Effects in the Binding Site of the Proangiogenic Molecule CD93
por: Cicaloni, Vittoria, et al.
Publicado: (2022) -
Towards a Precision Medicine Approach Based on Machine Learning for Tailoring Medical Treatment in Alkaptonuria
por: Spiga, Ottavia, et al.
Publicado: (2021) -
Structural investigation of Rett-inducing MeCP2 mutations()
por: Spiga, Ottavia, et al.
Publicado: (2018) -
Machine learning application for development of a data-driven predictive model able to investigate quality of life scores in a rare disease
por: Spiga, Ottavia, et al.
Publicado: (2020) -
The Impact of Artificial Intelligence in the Odyssey of Rare Diseases
por: Visibelli, Anna, et al.
Publicado: (2023)