• DocumentCode
    798408
  • Title

    Probabilistic Analysis of Probe Reliability in Differential Gene Expression Studies with Short Oligonucleotide Arrays

  • Author

    Lahti, Leo ; Elo, Laura L. ; Aittokallio, Tero ; Kaski, Samuel

  • Author_Institution
    Dept. of Inf. & Comput. Sci., Aalto Univ., Aalto, Finland
  • Volume
    8
  • Issue
    1
  • fYear
    2011
  • Firstpage
    217
  • Lastpage
    225
  • Abstract
    Probe defects are a major source of noise in gene expression studies. While existing approaches detect noisy probes based on external information such as genomic alignments, we introduce and validate a targeted probabilistic method for analyzing probe reliability directly from expression data and independently of the noise source. This provides insights into the various sources of probe-level noise and gives tools to guide probe design.
  • Keywords
    bioinformatics; genetics; noise; differential gene expression; noise; probabilistic analysis; probe reliability; short oligonucleotide array; targeted probabilistic method; Bioinformatics; Gene expression; Genetics; Genomics; Information analysis; Large-scale systems; Measurement techniques; Probes; Robustness; Signal design; Applications; biology and genetics; parameter learning; probabilistic algorithms.; Algorithms; Chi-Square Distribution; Computational Biology; Gene Expression Profiling; Genome; Humans; Models, Statistical; Normal Distribution; Nucleic Acid Probes; Oligonucleotide Array Sequence Analysis; Polymorphism, Single Nucleotide; ROC Curve; Reproducibility of Results; Sequence Alignment;
  • fLanguage
    English
  • Journal_Title
    Computational Biology and Bioinformatics, IEEE/ACM Transactions on
  • Publisher
    ieee
  • ISSN
    1545-5963
  • Type

    jour

  • DOI
    10.1109/TCBB.2009.38
  • Filename
    4906986