Predictive models for stage and risk classification in head and neck squamous cell carcinoma (HNSCC)

Machine learning techniques are increasingly used in the analysis of high throughput genome sequencing data to better understand the disease process and design of therapeutic modalities. In the current study, we have applied state of the art machine learning (ML) algorithms (Random Forest (RF), Supp...

Descripción completa

Detalles Bibliográficos
Autores principales: Kumar, Sugandh, Patnaik, Srinivas, Dixit, Anshuman
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2020
Materias:
Bioinformatics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7518185/
https://www.ncbi.nlm.nih.gov/pubmed/33024622
http://dx.doi.org/10.7717/peerj.9656

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7518185/
https://www.ncbi.nlm.nih.gov/pubmed/33024622
http://dx.doi.org/10.7717/peerj.9656

Ejemplares similares