TPSC: a module detection method based on topology potential and spectral clustering in weighted networks and its application in gene co-expression module discovery

TPSC: a module detection method based on topology potential and spectral clustering in weighted networks and its application in gene co-expression module discovery

Background: Gene co-expression networks are widely studied in the biomedical field, with algorithms such as WGCNA and lmQCM having been developed to detect co-expressed modules. However, these algorithms have limitations such as insufficient granularity and unbalanced module size, which prevent full...

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Bibliographic Details
Main Authors: Feng, W. (Author), Hou, J. (Author), Huang, K. (Author), Liu, Y. (Author), Shao, W. (Author), Ye, X. (Author), Yu, C.Y (Author), Zhang, J. (Author)
Format: Article
Language:English
Published: BioMed Central Ltd 2021
Subjects:
algorithm
Algorithms
Bioinformatics
Breast cancer
Breast Cancer
cluster analysis
Cluster Analysis
Clustering algorithms
Co-expression
Co-expression networks
'current
Data mining
Gene co-expression network
gene expression
Gene Expression
gene expression profiling
Gene Expression Profiling
gene regulatory network
Gene Regulatory Networks
Genes
Module detection
Module size
Signal detection
Spectral clustering
Topology
Topology potential
Weighted networks
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