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Machine Learning in Lung Cancer Radiomics 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 6, 页码: 753-782
作者:  Jiaqi Li
Adobe PDF(7595Kb)  |  收藏  |  浏览/下载：64/39  |  提交时间：2023/11/23
Machine learning, lung cancer, radiomics, medical image, clinical application  
Computation of Minimal Siphons in Petri Nets Using Problem Partitioning Approaches 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 2, 页码: 329-338
作者:  Dan You;  Oussama Karoui;  Shouguang Wang
Adobe PDF(1372Kb)  |  收藏  |  浏览/下载：237/56  |  提交时间：2021/11/03
Petri nets (PNs)  problem decomposition  resource-allocation systems  siphons  
Ferroptosis in liver disease: new insights into disease mechanisms 期刊论文
CELL DEATH DISCOVERY, 2021, 卷号: 7, 期号: 1, 页码: 9
作者:  Wu, Jing;  Wang, Yi;  Jiang, Rongtao;  Xue, Ran;  Yin, Xuehong;  Wu, Muchen;  Meng, Qinghua
收藏  |  浏览/下载：168/0  |  提交时间：2021/11/03
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：246/23  |  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)  
A Network-Based Bioinformatics Approach to Identify Molecular Biomarkers for Type 2 Diabetes that Are Linked to the Progression of Neurological Diseases 期刊论文
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2020, 卷号: 17, 期号: 3, 页码: 25
作者:  Rahman, Md Habibur;  Peng, Silong;  Hu, Xiyuan;  Chen, Chen;  Rahman, Md Rezanur;  Uddin, Shahadat;  Quinn, Julian M. W.;  Moni, Mohammad Ali
浏览  |  Adobe PDF(2713Kb)  |  收藏  |  浏览/下载：387/82  |  提交时间：2020/04/07
bioinformatics  computational biology  gene ontology  protein  pathways  type 2 diabetes  neurological disease  
Lung cancer deficient in the tumor suppressor GATA4 is sensitive to TGFBR1 inhibition 期刊论文
NATURE COMMUNICATIONS, 2019, 卷号: 10, 期号: 1, 页码: 1665
作者:  Gao, Lei;  Hu, Yong;  Tian, Yahui;  Fan, Zhenzhen;  Wang, Kun;  Li, Hongdan;  Zhou, Qian;  Zeng, Guandi;  Hu, Xin;  Yu, Lei;  Zhou, Shiyu;  Tong, Xinyuan;  Huang, Hsinyi;  Chen, Haiquan;  Liu, Qingsong;  Liu, Wanting;  Zhang, Gong;  Zeng, Musheng;  Zhou, Guangbiao;  He, Qingyu;  Ji, Hongbin;  Chen, Liang
浏览  |  Adobe PDF(2284Kb)  |  收藏  |  浏览/下载：442/124  |  提交时间：2019/07/12
GATA4  
The Applications of Radiomics in Precision Diagnosis and Treatment of Oncology: Opportunities and Challenges 期刊论文
Theranostics, 2019, 卷号: 9, 期号: 5, 页码: 1303-1322
作者:  Liu, Zhenyu;  Wang, Shuo;  Dong, Di;  Wei, Jingwei;  Fang, Cheng;  Zhou, Xuezhi;  Sun, Kai;  Li, Longfei;  Li, Bo;  Wang, Meiyun;  Tian, Jie
Adobe PDF(2057Kb)  |  收藏  |  浏览/下载：847/510  |  提交时间：2019/04/30
Radiomics  Medical Imaging  Precision Diagnosis And Treatment  Oncology  
p53-dependent upregulation of miR-16-2 by sanguinarine induces cell cycle arrest and apoptosis in hepatocellular carcinoma 期刊论文
CANCER LETTERS, 2019, 卷号: 459, 页码: 50-58
作者:  Zhang, Beilei;  Wang, Xinan;  Deng, Jiacong;  Zheng, Haifeng;  Liu, Wei;  Chen, Si;  Tian, Jie;  Wang, Fu
收藏  |  浏览/下载：178/0  |  提交时间：2019/12/16
miRNA-16  p53  Sanguinarine  Cell cycle  Apoptosis  
MRI features can predict EGFR expression in lower grade gliomas: A voxel-based radiomic analysis 期刊论文
EUROPEAN RADIOLOGY, 2018, 卷号: 28, 期号: 1, 页码: 356-362
作者:  Li, Yiming;  Liu, Xing;  Xu, Kaibin;  Qian, Zenghui;  Wang, Kai;  Fan, Xing;  Li, Shaowu;  Wang, Yinyan;  Jiang, Tao
收藏  |  浏览/下载：146/0  |  提交时间：2018/10/10
Radiomics  Lower Grade Glioma  Egfr  Mri  Prediction  
MRI features predict p53 status in lower-grade gliomas via a machine-learning approach 期刊论文
NEUROIMAGE-CLINICAL, 2018, 卷号: 17, 页码: 306-311
作者:  Li, Yiming;  Qian, Zenghui;  Xu, Kaibin;  Wang, Kai;  Fan, Xing;  Li, Shaowu;  Jiang, Tao;  Liu, Xing;  Wang, Yinyan
收藏  |  浏览/下载：136/0  |  提交时间：2018/10/10
P53  Lower-grade Gliomas  Radiogenomics  Prediction  Machine Learning