Graph deep learning for the characterization of tumour microenvironments from spatial protein profiles in tissue specimens
Zhenqin Wu(Hubei University for Nationalities), James Zou(Palo Alto University), Gregory W. Charville(Palo Alto University), Ann Marie Egloff(Brigham and Women's Hospital), Piero Dalerba(Columbia University), Alexandro E. Trevino(The University of Texas Rio Grande Valley), Umamaheswar Duvvuri(City University of New York), Aaron T. Mayer(ATUM (United States)), Ravindra Uppaluri(Brigham and Women's Hospital), Ryan Preska(Menlo School), Honesty J. Kim(Menlo School), H. Blaize D’Angio(Enable Biosciences (United States)), Eric Q. Wu(Emory University), Kyle Swanson(Stanford University)
Cited by 153
Related Papers
Analysis of protein-coding genetic variation in 60,706 humans
|Nature|2016|10.3k
An improved ATAC-seq protocol reduces background and enables interrogation of frozen tissues
|Nature Methods|2017|2.8k
A Deep Learning Approach to Antibiotic Discovery
|Cell|2020|2.3k
Immune Landscape of Viral- and Carcinogen-Driven Head and Neck Cancer
|Immunity|2020|688