On the Use of Topological Features of Metabolic Networks for the Classification of Cancer Samples

BACKGROUND: The increasing availability of omics data collected from patients affected by severe pathologies, such as cancer, is fostering the development of data science methods for their analysis. INTRODUCTION: The combination of data integration and machine learning approaches can provide new pow...

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Detalles Bibliográficos
Autores principales: Machicao, Jeaneth, Craighero, Francesco, Maspero, Davide, Angaroni, Fabrizio, Damiani, Chiara, Graudenzi, Alex, Antoniotti, Marco, Bruno, Odemir M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Bentham Science Publishers 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8188584/
https://www.ncbi.nlm.nih.gov/pubmed/34220296
http://dx.doi.org/10.2174/1389202922666210301084151

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8188584/
https://www.ncbi.nlm.nih.gov/pubmed/34220296
http://dx.doi.org/10.2174/1389202922666210301084151

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