• Publications
  • Influence
Empirical threshold values for quantitative trait mapping.
The detection of genes that control quantitative characters is a problem of great interest to the genetic mapping community. Methods for locating these quantitative trait loci (QTL) relative to mapsExpand
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A Two-Stage Poisson Model for Testing RNA-Seq Data
RNA sequencing technology is providing data of unprecedented throughput, resolution, and accuracy. Although there are many different computational tools for processing these data, there are a limitedExpand
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The Collaborative Cross, a community resource for the genetic analysis of complex traits
The goal of the Complex Trait Consortium is to promote the development of resources that can be used to understand, treat and ultimately prevent pervasive human diseases. Existing and proposed mouseExpand
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Modifying the Schwarz Bayesian Information Criterion to Locate Multiple Interacting Quantitative Trait Loci
The problem of locating multiple interacting quantitative trait loci (QTL) can be addressed as a multiple regression problem, with marker genotypes being the regressor variables. An important andExpand
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Statistical Design and Analysis of RNA Sequencing Data
Next-generation sequencing technologies are quickly becoming the preferred approach for characterizing and quantifying entire genomes. Even though data produced from these technologies are proving toExpand
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An Empirical Bayesian Method for Estimating Biological Networks from Temporal Microarray Data
Gene regulatory networks refer to the interactions that occur among genes and other cellular products. The topology of these networks can be inferred from measurements of changes in gene expressionExpand
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Calculation of the minimum number of replicate spots required for detection of significant gene expression fold change in microarray experiments
MOTIVATION We present statistical methods for determining the number of per gene replicate spots required in microarray experiments. The purpose of these methods is to obtain an estimate of theExpand
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Identification of QTLs controlling gene expression networks defined a priori
BackgroundGene expression microarrays allow the quantification of transcript accumulation for many or all genes in a genome. This technology has been utilized for a range of investigations, fromExpand
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Moving AHEAD with an international human epigenome project
  • Peter A. Trevor K. Stephen B. Stephan Shelley Bradley E. Jones Archer Baylin Beck Berger Bernstein Carpten , P. Jones, +33 authors C. Wu
  • Medicine, Biology
  • Nature
  • 6 August 2008
A plan to 'genomicize' epigenomics research and pave the way for breakthroughs in the prevention, diagnosis and treatment of human disease.
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Combining Affymetrix microarray results
BackgroundAs the use of microarray technology becomes more prevalent it is not unusual to find several laboratories employing the same microarray technology to identify genes related to the sameExpand
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