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A block mixture model to map eQTLs for gene clustering and networking
Ningtao Wang
, Kirk Gosik
,
Runze Li
, Bruce Lindsay
, Rongling Wu
Statistics
Department of Public Health Sciences
Penn State Cancer Institute
Cancer Institute, Cancer Control
Division of Biostatistics and Bioinformatics
Research output
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Contribution to journal
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Article
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peer-review
2
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Keyphrases
Mixture Model
100%
Gene Network
100%
Gene Clustering
100%
Expression Quantitative Trait Loci (eQTL)
100%
Gene Cluster
40%
Gene Regulatory Network
40%
Gene Expression
20%
Signaling Pathway
20%
Cellular Processes
20%
Genetic Variants
20%
Genetic Dissection
20%
Disease Progression
20%
Unifying Framework
20%
Gene Expression Profile
20%
Physiological Processes
20%
Genetic Mapping
20%
Dynamic Process
20%
Biological Function
20%
Functional Elements
20%
Gene Function
20%
Caenorhabditis Elegans
20%
Biological Mechanisms
20%
Computational Approach
20%
Genetic Mechanism
20%
Network Reconstruction
20%
Specific Expression
20%
Biochemistry, Genetics and Molecular Biology
Expression Quantitative Trait Loci
100%
Gene Expression
40%
Gene Cluster
40%
Regulatory Network
40%
Reconstruction
20%
Genetics
20%
Signal Transduction
20%
Genetic Divergence
20%
Physiological Process
20%
Gene Mapping
20%
Biological Functions
20%
Gene Function
20%
Caenorhabditis Elegans
20%
Genetic Mechanism
20%