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科研机构
北京大学 [5]
合肥物质科学研究院 [4]
上海药物研究所 [3]
中南大学 [3]
水生生物研究所 [2]
自动化研究所 [2]
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期刊论文 [27]
会议论文 [1]
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2022 [1]
2021 [6]
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2019 [2]
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2017 [2]
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Comprehensive evaluation of computational methods for predicting cancer driver genes
期刊论文
BRIEFINGS IN BIOINFORMATICS, 2022, 卷号: 23
作者:
Shi, Xiaohui
;
Teng, Huajing
;
Shi, Leisheng
;
Bi, Wenjian
;
Wei, Wenqing
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2022/12/23
TCGA
computational method
cancer driver gene
performance evaluation
Pan-cancer analysis
Structurally diverse diterpenoid alkaloids from the lateral roots of Aconitum carmichaelii Debx. and their anti-tumor activities based on in vitro systematic evaluation and network pharmacology analysis
期刊论文
RSC ADVANCES, 2021, 卷号: 11, 期号: 43, 页码: 26594-26606
作者:
Yu, Yang
;
Wu, Shifei
;
Zhang, Jianqing
;
Li, Jiayuan
;
Yao, Changliang
收藏
  |  
浏览/下载:27/0
  |  
提交时间:2021/11/04
Low expression of CHRDL1 and SPARCL1 predicts poor prognosis of lung adenocarcinoma based on comprehensive analysis and immunohistochemical validation
期刊论文
CANCER CELL INTERNATIONAL, 2021, 卷号: 21
作者:
Deng, Huan
;
Hang, Qingqing
;
Shen, Dijian
;
Zhang, Yibi
;
Chen, Ming
收藏
  |  
浏览/下载:27/0
  |  
提交时间:2021/06/21
Lung adenocarcinoma
Weighted gene coexpression network analysis
Differential coexpression genes
Protein-protein interaction network
Survival analysis
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
收藏
  |  
浏览/下载:73/0
  |  
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 large real-world cohort study of examined lymph node standards for adequate nodal staging in early non-small cell lung cancer
期刊论文
TRANSLATIONAL LUNG CANCER RESEARCH, 2021, 卷号: 10
作者:
Zhu, Zhihua
;
Song, Zhengbo
;
Jiao, Wenjie
;
Mei, Weijian
;
Xu, Chunwei
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  |  
浏览/下载:57/0
  |  
提交时间:2021/05/17
Non-small cell lung cancer (NSCLC)
examined lymph node (ELN)
minimal number
nodal staging
cohort study
Continental-scale spatial distribution, sources, and health risks of heavy metals in seafood: challenge for the water-food-energy nexus sustainability in coastal regions?
期刊论文
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2021
作者:
Lu, Jian
;
Lin, Yichen
;
Zhang, Cui
;
Wu, Jun
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2021/12/01
Water-food-energy nexus
Heavy metal
Seafood safety
Health risk
Source apportionment
Mariculture
Coastal zone
CanImmunother: a manually curated database for identification of cancer immunotherapies associating with biomarkers, targets, and clinical effects
期刊论文
ONCOIMMUNOLOGY, 2021, 卷号: 10, 期号: 1, 页码: 12
作者:
Zhang, Wenliang
;
Zeng, Binghui
;
Lin, Huancai
;
Guan, Wen
;
Mo, Jing
收藏
  |  
浏览/下载:33/0
  |  
提交时间:2021/12/01
Cancer immunotherapy
immune checkpoint
database
biomarker
tumor vaccine
Integrated analysis of circRNA-miRNA-mRNA network reveals potential prognostic biomarkers for radiotherapies with X-rays and carbon ions in non-small cell lung cancer
期刊论文
ANNALS OF TRANSLATIONAL MEDICINE, 2020, 卷号: 8, 期号: 21, 页码: 12
作者:
Jin, Xiaodong
;
Yuan, Lingyan
;
Liu, Bingtao
;
Kuang, Yanbei
;
Li, Hongbin
收藏
  |  
浏览/下载:223/0
  |  
提交时间:2021/12/13
Carbon-ion radiotherapy (CIRT)
radiosensitivity
circRNA-miRNA-mRNA network
non-small cell lung cancer (NSCLC)
Deep learning radiomics of ultrasonography: Identifying the risk of axillary non-sentinel lymph node involvement in primary breast cancer
期刊论文
EBIOMEDICINE, 2020, 卷号: 60, 页码: 11
作者:
Guo, Xu
;
Liu, Zhenyu
;
Sun, Caixia
;
Zhang, Lei
;
Wang, Ying
收藏
  |  
浏览/下载:48/0
  |  
提交时间:2021/01/07
Deep learning radiomics
Ultrasonography
Primary breast cancer
Axillary management
NSLN metastasis in the axilla
Deep Learning Enhancing Kinome-Wide Polypharmacology Profiling: Model Construction and Experiment Validation
期刊论文
JOURNAL OF MEDICINAL CHEMISTRY, 2020, 卷号: 63, 期号: 16, 页码: 8723-8737
作者:
Li, Xutong
;
Li, Zhaojun
;
Wu, Xiaolong
;
Xiong, Zhaoping
;
Yang, Tianbiao
收藏
  |  
浏览/下载:27/0
  |  
提交时间:2020/12/21
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