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Gene-microRNA network module analysis for ovarian cancer
Shuqin Zhang
*
,
Kwok Po Ng
*
Corresponding author for this work
Department of Mathematics
Research output
:
Contribution to journal
›
Journal article
›
peer-review
18
Citations (Scopus)
Overview
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Dive into the research topics of 'Gene-microRNA network module analysis for ovarian cancer'. Together they form a unique fingerprint.
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Keyphrases
MicroRNA
100%
Ovarian Cancer
100%
MicroRNA Network
100%
Network Module Analysis
100%
Computational Methods
22%
Co-expression
22%
Gene Expression Data
22%
Densely Connected
11%
Optimization Problem
11%
MiRNA Expression
11%
Close Interaction
11%
Biological Processes
11%
Optimization Model
11%
KEGG Pathway
11%
Expression Data
11%
Regulatory Pathways
11%
Gene-gene
11%
Network Modules
11%
Co-expression Network
11%
Data Expression
11%
MiRNA Cluster
11%
MiRNA-mRNA Interaction
11%
Integrated Network
11%
Post-transcriptional Gene Regulation
11%
Human Ovarian Cancer
11%
Co-expression Genes
11%
Connected Network
11%
MiRNA Regulatory Network
11%
Pharmacology, Toxicology and Pharmaceutical Science
Ovary Cancer
100%
microRNA
100%
Diseases
7%
Malignant Neoplasm
7%
Biochemistry, Genetics and Molecular Biology
MicroRNA
100%
Gene Expression Data
14%
Gene Expression
7%
Biological Phenomena and Functions Concerning the Entire Organism
7%
Regulatory Network
7%