Conlon, Erin

Profile Picture
Email Address
Birth Date
Research Projects
Organizational Units
Job Title
Associate Professor, Department of Math and Statistics
Last Name
Conlon
First Name
Erin
Discipline
Microarrays
Expertise
Bayesian models for the analysis of genomic data and comparative genomics
Microarray and DNA sequence analysis
Introduction
Erin Conlon develops statistical methods for integrating multiple sources of genomic information, including microarray, DNA sequence and functional data. She also develops Bayesian models for genomic data, currently focusing on gene expression meta-analysis. Further research areas involve comparative genomics approaches to identifying genetic regulatory networks in prokaryotic species.
Name

Filters

20121
Reset filters

Settings

Citations

Search Results

Now showing 1 - 1 of 1
  • Thumbnail Image
    Publication
    A Bayesian Model for Pooling Gene Expression Studies That Incorporates Co-Regulation Information
    (2012-01) Conlon, Erin; Postier, Bradley L.; Methé, Barbara; Nevin, Kelly; Lovley, Derek
    Current Bayesian microarray models that pool multiple studies assume gene expression is independent of other genes. However, in prokaryotic organisms, genes are arranged in units that are co-regulated (called operons). Here, we introduce a new Bayesian model for pooling gene expression studies that incorporates operon information into the model. Our Bayesian model borrows information from other genes within the same operon to improve estimation of gene expression. The model produces the gene-specific posterior probability of differential expression, which is the basis for inference. We found in simulations and in biological studies that incorporating co-regulation information improves upon the independence model. We assume that each study contains two experimental conditions: a treatment and control. We note that there exist environmental conditions for which genes that are supposed to be transcribed together lose their operon structure, and that our model is best carried out for known operon structures.