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

Using Multiomics and Machine Learning: Insights into Improving the Outcomes of Clear Cell Renal Cell Carcinoma via the SRD5A3-AS1/hsa-let-7e-5p/RRM2 Axis.

利用多组学和机器学习:通过 SRD5A3-AS1/hsa-let-7e-5p/RRM2 轴改善透明细胞肾细胞癌的预后

Sun Mouyuan, Yang Zhan, Luo Yaxian, Qin Luying, Peng Lianjie, Pan Chaoran, Yan Jiatao, Qiu Tao, Zhang Yan

FPGA-based CCD signal acquisition and transmission system design

基于FPGA的CCD信号采集与传输系统设计

Peng, Xuxiang; Tang, Yun; Li, Jingfeng; Zou, Penghui; Liao, Ping; Yan, Jiatao; Shen, Meng; Zhou, Ling

Machine learning identifies exosome features related to hepatocellular carcinoma

机器学习识别与肝细胞癌相关的外泌体特征

Zhu, Kai; Tao, Qiqi; Yan, Jiatao; Lang, Zhichao; Li, Xinmiao; Li, Yifei; Fan, Congcong; Yu, Zhengping

Multiple-Responsive Dendronized Hyperbranched Polymers

多重响应树枝状超支化聚合物

Zhang, Xiacong; Liu, Ting; Yan, Jiatao; Liu, Kun; Li, Wen; Zhang, Afang