日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Analysis of the transcriptomic and metabolomic landscape of prostate cancer with different anatomical origins using snFLARE-seq and mxFRIZNGRND

利用snFLARE-seq和mxFRIZNGRND分析不同解剖起源的前列腺癌的转录组和代谢组图谱

He, Dongyin; Hu, Haoran; Xiao, Kai; Zhang, Yuhang; Cheng, Yongbing; Jiao, Shaozhuo; Hao, Yimei; Cai, Yuanyuan; Liu, Ziqun; Yan, Xinran; Chen, Qinsheng; Mu, Xiyan; Wang, Qi; Peng, Shan; Sang, Guoqin; Zhi, Xiaoling; Chang, Yanxia; Ye, Qing; Yang, Yuyao; Che, Meixia; Huang, Shengsong; Guo, Hongqian; Chen, Luonan; Tang, Huiru; Qiu, Xuefeng; Li, Zhenfei

Delayformer: Spatiotemporal Transformation for Predicting High-Dimensional Dynamics

延迟变换器:用于预测高维动力学的时空变换

Wang, Zijian; Tao, Peng; Chen, Luonan

Reply to "Comment on 'De Novo Reconstruction of 3D Human Facial Images From DNA Sequence'"

回复“关于‘从DNA序列重新构建3D人脸图像’的评论”

Jiao, Mingqi; Li, Jiarui; Zuo, Chunman; Wang, Sijia; Chen, Luonan

Therapy-induced cholesterol biosynthesis drives lung cancer dormancy and drug resistance

治疗诱导的胆固醇生物合成驱动肺癌休眠和耐药性

Zhao, Yikai; Zhou, Yijia; Pan, Linnuo; Tian, Geng G; Huang, Hsin-Yi; Tang, Shijie; Lu, Ming; Zhou, Zhangsen; Zhang, Peng; Chen, Luonan; Zhang, Lele; Hu, Liang; Ji, Hongbin

Hallmarks of the pre-disease state: prevention and control of the pre-disease state, a tipping point between health and disease

疾病前期状态的特征:疾病前期状态的预防和控制,这是健康与疾病之间的临界点

Chen, Pei; Liu, Xiaoping; Liu, Rui; Chen, Luonan

Mining lysine post-translational modification sites by integrating protein language model representations with structural context

通过将蛋白质语言模型表示与结构上下文相结合,挖掘赖氨酸翻译后修饰位点

Luo, Mengqi; Zhu, Xiaohong; Bai, Chen; Warshel, Arieh; Chen, Luonan

ICIsc: A Deep Learning Framework for Predicting Immune Checkpoint Inhibitor Response by Integrating scRNA-Seq and Protein Language Models

ICIsc:一种通过整合单细胞RNA测序和蛋白质语言模型来预测免疫检查点抑制剂反应的深度学习框架

Jin, Zhenyu; Zhang, Di; Chen, Luonan

Two-dimensional Health State Map to define metabolic health using separated static and dynamic homeostasis features: a proof-of-concept study

利用分离的静态和动态稳态特征定义代谢健康的二维健康状态图:概念验证研究

Wu, Yanpu; Zhang, Xinyan; Sun, Liang; Wu, Qingqing; Liu, Xiaoping; Deng, Yueyi; Lu, Zhenzhen; Li, Zhongxia; Deng, Chaoming; He, Ruikun; Zhang, Luyun; Zeng, Rong; Zhang, Xuguang; Chen, Luonan; Lin, Xu

A pretrained transformer model for decoding individual glucose dynamics from continuous glucose monitoring data

用于解码连续血糖监测数据中个体血糖动态变化的预训练Transformer模型

Lu, Yurun; Liu, Dan; Liang, Zhongming; Liu, Rui; Chen, Pei; Liu, Yitong; Li, Jiachen; Feng, Zhanying; Li, Lei M; Sheng, Bin; Jia, Weiping; Chen, Luonan; Li, Huating; Wang, Yong

One-core neuron deep learning for time series prediction

用于时间序列预测的单核神经元深度学习

Peng, Hao; Chen, Pei; Yang, Na; Aihara, Kazuyuki; Liu, Rui; Chen, Luonan