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Intratumor graph neural network recovers hidden prognostic value of multi-biomarker spatial heterogeneity
oleh: Lida Qiu, Deyong Kang, Chuan Wang, Wenhui Guo, Fangmeng Fu, Qingxiang Wu, Gangqin Xi, Jiajia He, Liqin Zheng, Qingyuan Zhang, Xiaoxia Liao, Lianhuang Li, Jianxin Chen, Haohua Tu
Format: | Article |
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Diterbitkan: | Nature Portfolio 2022-07-01 |
Deskripsi
Cancer prognosis using multiregion sampling is costly and not completely reliable due to the required biomarker homogenisation step. Here, the authors develop an intratumor graph neural network for prognosis in multiregion cancer samples based on in situ biomarkers and gene expression that does not need homogenisation.