中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
自动化研究所 [3]
合肥物质科学研究院 [2]
计算技术研究所 [1]
西双版纳热带植物园 [1]
数学与系统科学研究院 [1]
南京地质古生物研究所 [1]
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采集方式
OAI收割 [10]
内容类型
期刊论文 [8]
学位论文 [2]
发表日期
2022 [1]
2021 [2]
2020 [1]
2018 [2]
2016 [1]
2015 [1]
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学科主题
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Knowledge-guided multi-task attention network for survival risk prediction using multi-center computed tomography images
期刊论文
OAI收割
NEURAL NETWORKS, 2022, 卷号: 152, 页码: 394-406
作者:
Zhang, Liwen
;
Zhong, Lianzhen
;
Li, Cong
;
Zhang, Wenjuan
;
Hu, Chaoen
  |  
收藏
  |  
浏览/下载:41/0
  |  
提交时间:2022/07/25
Overall survival
Deep learning
Computed tomography (CT)
Neural network
High Expression Levels of CDK1 and CDC20 in Patients With Lung Squamous Cell Carcinoma are Associated With Worse Prognosis
期刊论文
OAI收割
FRONTIERS IN MOLECULAR BIOSCIENCES, 2021, 卷号: 8
作者:
Deng, Huan
;
Hang, Qingqing
;
Shen, Dijian
;
Ying, Hangjie
;
Zhang, Yibi
  |  
收藏
  |  
浏览/下载:40/0
  |  
提交时间:2021/08/30
lung squamous cell carcinoma
protein-protein interaction network
survival analysis
gene set enrichment analysis
experimental validation
Low expression of CHRDL1 and SPARCL1 predicts poor prognosis of lung adenocarcinoma based on comprehensive analysis and immunohistochemical validation
期刊论文
OAI收割
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:35/0
  |  
提交时间:2021/06/21
Lung adenocarcinoma
Weighted gene coexpression network analysis
Differential coexpression genes
Protein-protein interaction network
Survival analysis
An Inception Module CNN Classifiers Fusion Method on Pulmonary Nodule Diagnosis by Signs
期刊论文
OAI收割
TSINGHUA SCIENCE AND TECHNOLOGY, 2020, 卷号: 25, 期号: 3, 页码: 368
作者:
Zheng Guangyuan
;
Han Guanghui
;
Soomro Nouman Qadeer
  |  
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2023/12/04
COMPUTER-AIDED DIAGNOSIS
HIGH-RESOLUTION CT
LUNG-CANCER
NEURAL-NETWORKS
IMAGING SIGNS
CLASSIFICATION
SURVIVAL
SYSTEM
PERFORMANCE
PATTERNS
sign
lung cancer
pulmonary nodule
Convolutional Neural Network (CNN)
Artificial Immune Algorithm (AIA)
Network-Regularized Sparse Logistic Regression Models for Clinical Risk Prediction and Biomarker Discovery
期刊论文
OAI收割
IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, 2018, 卷号: 15, 期号: 3, 页码: 944-953
作者:
Min, Wenwen
;
Liu, Juan
;
Zhang, Shihua
  |  
收藏
  |  
浏览/下载:30/0
  |  
提交时间:2018/07/30
Sparse logistic regression
network-regularized penalty
survival risk prediction
feature selection
Post-extinction diversification patterns of brachiopods in the early-middle Llandovery, Silurian
期刊论文
OAI收割
PALAEOGEOGRAPHY PALAEOCLIMATOLOGY PALAEOECOLOGY, 2018, 卷号: 493, 页码: 11-19
作者:
Huang, Bing (黄冰)
;
Jin, Jisuo
;
Rong, Jia-Yu (戎嘉余)
  |  
收藏
  |  
浏览/下载:46/0
  |  
提交时间:2019/05/22
Ordovician
Survival
Recovery
Radiation
Network Analysis
Identify signature regulatory network for glioblastoma prognosis by integrative mRNA and miRNA co-expression analysis
期刊论文
OAI收割
IET SYSTEMS BIOLOGY, 2016, 卷号: 10, 页码: 244-251
作者:
Bing, Zhi-Tong
;
Yang, Guang-Hui
;
Xiong, Jie
;
Guo, Ling
;
Yang, Lei
  |  
收藏
  |  
浏览/下载:36/0
  |  
提交时间:2018/05/31
RNA
molecular biophysics
genetics
cancer
signature regulatory network
glioblastoma prognosis
mRNA coexpression analysis
miRNA coexpression analysis
glioblastoma multiforme
brain tumour
microRNAs
pathogenesis
genome-wide regulatory networks
miRNA-mRNA pairs
weighted gene coexpression network analysis
survival analysis
GBM prognosis
integration analysis
neuropilin-1 gene
module turquoise
molecular regulatory mechanisms
Comparison of the Prognostic Utility of the Diverse Molecular Data among lncRNA, DNA Methylation, microRNA, and mRNA across Five Human Cancers
期刊论文
OAI收割
PLOS ONE, 2015, 卷号: 10, 期号: 11, 页码: e0142433
作者:
收藏
  |  
浏览/下载:23/0
  |  
提交时间:2016/01/25
OVARIAN-CARCINOMA
CLINICAL UTILITY
GENOMIC ANALYSES
GENE SELECTION
BREAST-CANCER
TUMOR TYPES
SURVIVAL
BIOMARKERS
NETWORK
MODELS
脑胶质瘤的生物信息学研究
学位论文
OAI收割
工学博士, 中国科学院自动化研究所: 中国科学院研究生院, 2009
作者:
张靖
收藏
  |  
浏览/下载:224/0
  |  
提交时间:2015/09/02
脑胶质瘤
生物信息学
基因芯片
基因网络
生存期预测
glioma
bioinformatics
microarray
gene network
survival prediction
WDM全光网“可运营、可管理”的研究
学位论文
OAI收割
工学博士, 中国科学院自动化研究所: 中国科学院研究生院, 2002
作者:
李金平
收藏
  |  
浏览/下载:43/0
  |  
提交时间:2015/09/02
WDM全光网
可运营
可管理
网络优化
网络生存性
策略管理
WDM all-optical network
carrying
managing
network optimizing
network survival
based-policy management