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Inferring gene networks from discrete expression data
L. Zhang, B. K. Mallick
Research output
:
Contribution to journal
›
Article
›
peer-review
12
Scopus citations
Overview
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Dive into the research topics of 'Inferring gene networks from discrete expression data'. Together they form a unique fingerprint.
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Computer Science
Graphical Model
100%
Ontology
50%
Gene Expression Data
50%
Continuous Data
50%
Network Inference
50%
Expression Level
50%
Signaling Pathway
50%
Network Structures
50%
Covariance Matrix
50%
Simulation Study
50%
Mathematics
Gaussian Distribution
100%
Graphical Model
66%
Covariance Matrix
33%
Simulation Study
33%
Generalized Linear Model
33%
Network Model
33%
Continuous Data
33%
Biochemistry, Genetics and Molecular Biology
Gene Network
100%
Gaussian Distribution
60%
Signal Transduction
20%
Serial Analysis of Gene Expression
20%
Gene Expression Data
20%
RNA Gene
20%
Gene Ontology
20%
RNA Sequence
20%
Keyphrases
Avail
33%
Inverse Wishart Prior
33%
Gene Network Modeling
33%
Discrete Graphical Model
33%
Targeted Treatment
33%
Log-ratio
33%
Prior Network
33%