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A new approach to identify functional modules using random matrix theory
Mengxia Zhu
,
Qishi Wu
, Yunfeng Yang
, Jizhong Zhou
Research output
:
Chapter in Book/Report/Conference proceeding
›
Conference contribution
1
Scopus citations
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Keyphrases
Random Matrix Theory
100%
Functional Modules
100%
Expression Data
66%
Transcriptional Network
66%
Random Component
66%
Gene Expression Data
66%
Publicly Available
33%
Human Decision
33%
Microarray
33%
Eigenvector
33%
Eigenvalues
33%
Human Intervention
33%
Orthogonal Rotation
33%
Genomic Technologies
33%
Gene Cluster
33%
Cluster Interaction
33%
Entire Genome
33%
Gene Expression Profile
33%
Varimax
33%
Truly Random
33%
Theory-based Approach
33%
High-throughput Genomics
33%
Genome-wide Expression
33%
Random Correlation Matrices
33%
Correlation Matrix
33%
Computer Science
Functional Module
100%
Gene Expression Data
66%
Correlation Matrix
66%
High Throughput
33%
Experimental Result
33%
Eigenvector
33%
Eigenvalue
33%
Human Intervention
33%
Convey Information
33%
Biochemistry, Genetics and Molecular Biology
Gene Expression Data
100%
Gene Expression
50%
Gene Cluster
50%
Microarrays
50%
Neuroscience
Gene Expression
100%
Microarrays
33%
Gene Cluster
33%