Figure S3 from A Pan-Cancer Patient-Derived Xenograft Histology Image Repository with Genomic and Pathologic Annotations Enables Deep Learning Analysis Brian S. White , Xing Yi Woo , Soner Koc , Todd Sheridan , Steven B. Neuhauser , Shidan Wang , Yvonne A. Evrard , Li Chen , Ali Foroughi pour , John D. Landua , R. Jay Mashl , Sherri R. Davies , Bingliang Fang , Maria Gabriela Raso , Kurt W. Evans , Matthew H. Bailey , Yeqing Chen , Min Xiao , Jill C. Rubinstein , Brian J. Sanderson , Michael W. Lloyd , Sergii Domanskyi , Lacey E. Dobrolecki , Maihi Fujita , Junya Fujimoto , Guanghua Xiao , Ryan C. Fields , Jacqueline L. Mudd , Xiaowei Xu , Melinda G. Hollingshead , Shahanawaz Jiwani , Saul Acevedo , Brandi N. Davis-Dusenbery , Peter N. Robinson , Jeffrey A. Moscow , James H. Doroshow , Nicholas Mitsiades , Salma Kaochar , Chong-xian Pan , Luis G. Carvajal-Carmona , Alana L. Welm , Bryan E. Welm , Ramaswamy Govindan , Shunqiang Li , Michael A. Davies , Jack A. Roth , Funda Meric-Bernstam , Yang Xie , Meenhard Herlyn , Li Ding , Michael T. Lewis , Carol J. Bult , Dennis A. Dean , Jeffrey H. Chuang crossref（2024）
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