Jun Lu

Summary

Publications

  1. pmc Dynamic expression of 3' UTRs revealed by Poisson hidden Markov modeling of RNA-Seq: implications in gene expression profiling
    Jun Lu
    Microarray and Genome Informatics Group, National Institute of Environmental Health Sciences, Research Triangle Park, NC 27709, USA
    Gene 527:616-23. 2013
  2. pmc Population differences in transcript-regulator expression quantitative trait loci
    Pierre R Bushel
    Biostatistics Branch, National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina, United States of America
    PLoS ONE 7:e34286. 2012
  3. pmc Principal component analysis-based filtering improves detection for Affymetrix gene expression arrays
    Jun Lu
    Microarray and Genome Informatics Group, National Institute of Environmental Health Sciences, SRA International, Inc and Biostatistics Branch, National Institute of Environmental Health Sciences, Research Triangle Park, NC 27709, USA
    Nucleic Acids Res 39:e86. 2011

Collaborators

  • Shyamal D Peddada
  • Pierre R Bushel
  • Xihong Lin
  • Winston Hide
  • Ray McGovern
  • Liwen Liu
  • Oliver Hofmann
  • Ahsan Huda

Detail Information

Publications3

  1. pmc Dynamic expression of 3' UTRs revealed by Poisson hidden Markov modeling of RNA-Seq: implications in gene expression profiling
    Jun Lu
    Microarray and Genome Informatics Group, National Institute of Environmental Health Sciences, Research Triangle Park, NC 27709, USA
    Gene 527:616-23. 2013
    ..Given the increasing usage of RNA-Seq for gene expression profiling, using PHMM to investigate sample-specific 3' UTR shortening could be an added benefit from this emerging technology...
  2. pmc Population differences in transcript-regulator expression quantitative trait loci
    Pierre R Bushel
    Biostatistics Branch, National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina, United States of America
    PLoS ONE 7:e34286. 2012
    ..The potential pleiotropic effect of the Foxp3 TReQTLs was gleaned from integrating mRNA-Seq data and SNP-set enrichment into the analysis...
  3. pmc Principal component analysis-based filtering improves detection for Affymetrix gene expression arrays
    Jun Lu
    Microarray and Genome Informatics Group, National Institute of Environmental Health Sciences, SRA International, Inc and Biostatistics Branch, National Institute of Environmental Health Sciences, Research Triangle Park, NC 27709, USA
    Nucleic Acids Res 39:e86. 2011
    ..We demonstrate that PVAC exhibits equal or better performance than several widely used filtering methods. Furthermore, a data-driven approach that guides the selection of the filtering threshold value is also proposed...