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科研机构
海洋研究所 [2]
中南大学 [1]
近代物理研究所 [1]
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期刊论文 [4]
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2019 [2]
2016 [1]
2015 [1]
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Transcriptome and Gene Coexpression Network Analyses of Two Wild Populations Provides Insight into the High-Salinity Adaptation Mechanisms of Crassostrea ariakensis
期刊论文
MARINE BIOTECHNOLOGY, 2019, 卷号: 21, 期号: 5, 页码: 596-612
作者:
Liu, Xingyu
;
Li, Li
;
Li, Ao
;
Li, Yingxiang
;
Wang, Wei
收藏
  |  
浏览/下载:76/0
  |  
提交时间:2020/01/03
High-salinity adaptation
Wild populations
Larvae transcriptome
Weighted gene correlation network analysis
Crassostrea ariakensis
Transcriptome and Gene Coexpression Network Analysis of Two Wild Populations Provides Insight into the High-Salinity Adaptation Mechanisms of Crassostrea ariakensis
期刊论文
Marine Biotechnology, 2019, 期号: online, 页码: published online
作者:
Liu XY(刘星宇)
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  |  
浏览/下载:48/0
  |  
提交时间:2019/06/15
High-salinity Adaptation
Wild Populations
Larvae Transcriptome
Weighted Gene Correlation Network Analysis
Crassostrea Ariakensis
Constructing Weighted Gene Correlation Network on GPUs
期刊论文
FRONTIER COMPUTING: THEORY, TECHNOLOGIES AND APPLICATIONS, 2016, 卷号: 375, 页码: 429-439
作者:
Yang, Guanghui
;
Zhang, Sheng
;
Tian, Yuan
;
Lin, Ping
;
Wan, Jiang-Feng
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  |  
浏览/下载:18/0
  |  
提交时间:2018/07/16
Weighted network
GPU
Gene correlation expression
Biological data analysis
Identification and validation of gene module associated with lung cancer through coexpression network analysis
期刊论文
Gene, 2015, 卷号: 563, 期号: 1, 页码: 56-62
作者:
Liu, Rong
;
Cheng, Yu
;
Yu, Jing
;
Lv, Qiao-Li
;
Zhou, Hong-Hao*
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  |  
浏览/下载:7/0
  |  
提交时间:2019/12/03
WGCNA
weighted gene co-expression network analysis
LCHN
lung cancer-specific hub network
MS
module significance
GS
gene significance
TOM
topologic overlap measure
kME
Pearson's correlation coefficient between each individual gene and ME
MEs
module eigengenes
GO
Gene Ontology.
Lung cancer
Gene expression profiling
Systems biology
Support vector machine
Biomarkers
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