A multiomics analysis-assisted deep learning model identifies a macrophage-oriented module as a potential therapeutic target in colorectal cancer

A multiomics analysis-assisted deep learning model identifies a macrophage-oriented module as a potential therapeutic target in colorectal cancer

Colorectal cancer (CRC) is a common malignancy involving multiple cellular components. The CRC tumor microenvironment (TME) has been characterized well at single-cell resolution. However, a spatial interaction map of the CRC TME is still elusive. Here, we integrate multiomics analyses and establish...

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Bibliographic Details
Main Authors: Bao, Xuanwen, Li, Qiong, Chen, Dong, Dai, Xiaomeng, Liu, Chuan, Tian, Weihong, Zhang, Hangyu, Jin, Yuzhi, Wang, Yin, Cheng, Jinlin, Lai, Chunyu, Ye, Chanqi, Xin, Shan, Li, Xin, Su, Ge, Ding, Yongfeng, Xiong, Yangyang, Xie, Jindong, Tano, Vincent, Wang, Yanfang, Fu, Wenguang, Deng, Shuiguang, Fang, Weijia, Sheng, Jianpeng, Ruan, Jian, Zhao, Peng
Other Authors: Lee Kong Chian School of Medicine (LKCMedicine)
Format: Journal Article
Language:English
Published: 2024
Subjects:
Medicine, Health and Life Sciences
Artificial intelligence
Colorectal cancer
Online Access:https://hdl.handle.net/10356/178491

Internet

https://hdl.handle.net/10356/178491

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