Deep neural network classification based on somatic mutations potentially predicts clinical benefit of immune checkpoint blockade in lung adenocarcinoma

Although several biomarkers have been proposed to predict the response of patients with lung adenocarcinoma (LUAD) to immune checkpoint blockade (ICB) therapy, existing challenges such as test platform uniformity, cutoff value definition, and low frequencies restrict their effective clinical applica...

Descripción completa

Detalles Bibliográficos
Autores principales: Peng, Jie, Zou, Dan, Gong, Wuxing, Kang, Shuai, Han, Lijie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2020
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7051190/
https://www.ncbi.nlm.nih.gov/pubmed/32158626
http://dx.doi.org/10.1080/2162402X.2020.1734156

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7051190/
https://www.ncbi.nlm.nih.gov/pubmed/32158626
http://dx.doi.org/10.1080/2162402X.2020.1734156

Ejemplares similares