Deep learning reveals predictive sequence concepts within immune repertoires to immunotherapy

T cell receptor (TCR) sequencing has been used to characterize the immune response to cancer. However, most analyses have been restricted to quantitative measures such as clonality that do not leverage the complementarity-determining region 3 (CDR3) sequence. We use DeepTCR, a framework of deep lear...

Descripción completa

Detalles Bibliográficos
Autores principales: Sidhom, John-William, Oliveira, Giacomo, Ross-MacDonald, Petra, Wind-Rotolo, Megan, Wu, Catherine J., Pardoll, Drew M., Baras, Alexander S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for the Advancement of Science 2022
Materias:
Biomedicine and Life Sciences
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9481116/
https://www.ncbi.nlm.nih.gov/pubmed/36112691
http://dx.doi.org/10.1126/sciadv.abq5089

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9481116/
https://www.ncbi.nlm.nih.gov/pubmed/36112691
http://dx.doi.org/10.1126/sciadv.abq5089

Ejemplares similares