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Network-based integrative analysis of single-cell transcriptomic and epigenomic data for cell types 期刊论文
BRIEFINGS IN BIOINFORMATICS, 2022, 卷号: 23, 期号: 2, 页码: 13
作者:  Wu, Wenming;  Zhang, Wensheng;  Ma, Xiaoke
收藏  |  浏览/下载:157/0  |  提交时间:2022/07/25
single-cell multi-omics data  integrative analysis  adaptive graph learning  cell type  
ImmunoAIzer: A Deep Learning-Based Computational Framework to Characterize Cell Distribution and Gene Mutation in Tumor Microenvironment 期刊论文
CANCERS, 2021, 卷号: 13, 期号: 7, 页码: 21
作者:  Bian, Chang;  Wang, Yu;  Lu, Zhihao;  An, Yu;  Wang, Hanfan;  Kong, Lingxin;  Du, Yang;  Tian, Jie
Adobe PDF(14076Kb)  |  收藏  |  浏览/下载:258/23  |  提交时间:2021/05/17
deep learning  cell distribution  biomarker  tumor gene mutation  tumor microenvironment (TME)  semi-supervised learning  hematoxylin and eosin (H&  E)  
F-18-FDG-PET-based Radiomics signature predicts MGMT promoter methylation status in primary diffuse glioma 期刊论文
CANCER IMAGING, 2019, 卷号: 19, 期号: 1, 页码: 10
作者:  Kong, Ziren;  Lin, Yusong;  Jiang, Chendan;  Li, Longfei;  Liu, Zehua;  Wang, Yuekun;  Dai, Congxin;  Liu, Delin;  Qin, Xuying;  Wang, Yu;  Liu, Zhenyu;  Cheng, Xin;  Tian, Jie;  Ma, Wenbin
收藏  |  浏览/下载:258/0  |  提交时间:2019/12/16
Radiomics  FDG PET  MGMT promoter methylation  Glioma  Prognosis  
GPR and SPSO-CG based gait pattern generation for subject-specific training 期刊论文
SCIENCE CHINA Information Sciences, 2019, 卷号: 64, 期号: 00, 页码: 00
作者:  weiqun wang;  Weiguo SHI;  Shixin REN;  zeng-guang hou;  Xu LIANG;  Jiaxin WANG;  Liang PENG
浏览  |  Adobe PDF(142Kb)  |  收藏  |  浏览/下载:282/88  |  提交时间:2019/11/07
Gait Pattern Generation  Subject-specific Training