Detecting Differential Variable microRNAs via Model-Based Clustering

Abstract excerpt

<h4>ABSTRACT</h4> Identifying genomic probes (e.g., DNA methylation marks) is becoming a new approach to detect novel genomic risk factors for complex human diseases. The F test is the standard equal-variance test in Statistics. For high-throughput genomic data, the probe-wise F test has been successfully used to detect biologically relevant DNA methylation marks that have different variances between two groups o...

Topics

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• Algorithms
• Breast Neoplasms
• Cluster Analysis
• Gene Expression Profiling
• Gene Regulatory Networks
• Genetic Predisposition to Disease
• MicroRNAs
• Models, Genetic

Identifiers and source

Literature Corpus work

13e39860-6535-5fa9-814b-806ba6bc3fe5

DOI

10.1101/296947