Classification of tumor types using XGBoost machine learning model: a vector space transformation of genomic alterations

BACKGROUND: Machine learning (ML) represents a powerful tool to capture relationships between molecular alterations and cancer types and to extract biological information. Here, we developed a plain ML model aimed at distinguishing cancer types based on genetic lesions, providing an additional tool...

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Detalles Bibliográficos
Autores principales: Zelli, Veronica, Manno, Andrea, Compagnoni, Chiara, Ibraheem, Rasheed Oyewole, Zazzeroni, Francesca, Alesse, Edoardo, Rossi, Fabrizio, Arbib, Claudio, Tessitore, Alessandra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10664515/
https://www.ncbi.nlm.nih.gov/pubmed/37990214
http://dx.doi.org/10.1186/s12967-023-04720-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10664515/
https://www.ncbi.nlm.nih.gov/pubmed/37990214
http://dx.doi.org/10.1186/s12967-023-04720-4

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