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How many replicates of arrays are required to detect gene expression changes in microarray experiments? A mixture model approach
Wei Pan
, Jizhen Lin
, Chap T. Le
Biostatistics
Research output
:
Contribution to journal
›
Article
›
peer-review
139
Scopus citations
Overview
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Dive into the research topics of 'How many replicates of arrays are required to detect gene expression changes in microarray experiments? A mixture model approach'. Together they form a unique fingerprint.
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Keyphrases
Microarray Experiment
100%
Gene Expression Changes
100%
Mixture Model
100%
Statistical Methods
66%
Differentially Expressed Genes
66%
Middle Ear Infection
33%
Expression Level
33%
Statistical Power
33%
Power Function
33%
Expression Change
33%
Nonparametric Statistical Methods
33%
Type I Error Rate
33%
Number of Replicates
33%
Normal Mixture Models
33%
Changes in Gene Expression
33%
Mathematics
Mixture Model
100%
Replicate
100%
Statistical Method
60%
Probability Theory
20%
Statistical Power
20%
Power Function
20%
Error Rate
20%
Biochemistry, Genetics and Molecular Biology
Gene Expression
100%
Differentially Expressed Gene
100%
Computer Science
Expression Change
100%
Expression Level
50%