Artigo Acesso aberto Revisado por pares

A deep-learning framework to predict cancer treatment response from histopathology images through imputed transcriptomics

2024; Nature Portfolio; Volume: 5; Issue: 9 Linguagem: Inglês

10.1038/s43018-024-00793-2

ISSN

2662-1347

Autores

Danh-Tai Hoang, Gal Dinstag, Eldad D. Shulman, Leandro C. Hermida, Doreen S. Ben-Zvi, Efrat Elis, Katherine Caley, Stephen‐John Sammut, Sanju Sinha, Neelam Sinha, Christopher H. Dampier, Chani Stossel, Tejas Patil, Arun Rajan, Wiem Lassoued, Julius Strauss, Shania Bailey, Clint Allen, Jason M. Redman, Tuvik Beker, Peng Jiang, Talia Golan, Scott Wilkinson, Adam G. Sowalsky, Sharon R. Pine, Carlos Caldas, James L. Gulley, Kenneth Aldape, Ranit Aharonov, Eric A. Stone, Eytan Ruppin,

Tópico(s)

Cell Image Analysis Techniques

Referência(s)