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Model-based cluster analysis of microarray gene-expression data
Wei Pan
, Jizhen Lin
, Chap T. Le
Biostatistics
Research output
:
Contribution to journal
›
Article
›
peer-review
95
Scopus citations
Overview
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Dive into the research topics of 'Model-based cluster analysis of microarray gene-expression data'. Together they form a unique fingerprint.
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Keyphrases
Differential Gene Expression
100%
Gene Expression Level
100%
T-statistic
100%
Microarray Gene Expression
100%
Model-based Cluster Analysis
100%
Gene Expression Pattern
50%
Microarray Technology
50%
Middle Ear Infection
50%
Clustering Methods
50%
Genomic Studies
50%
Expression Level
50%
Statistical Tools
50%
Differentially Expressed Genes
50%
Model-based Clustering
50%
Microarray Data
50%
Altered Gene Expression
50%
Normal Mixture Models
50%
Large Amount of Data
50%
Biochemistry, Genetics and Molecular Biology
Differential Gene Expression
100%
Cluster Analysis
100%
Gene Expression Data
100%
Gene Expression Level
100%
Model-Based Clustering
50%
Gene Expression
50%
Genomics
50%
Differentially Expressed Gene
50%
Computer Science
Gene Expression Data
100%
Expression Level
100%
Cluster Analysis
100%
Summary Statistic
66%
Microarray Data
33%
Clustering Technique
33%
Pattern Expression
33%
Mathematics
Summary Statistic
100%
Cluster Analysis
100%
Mixture Model
50%
Model-Based Clustering
50%