Time Series Analysis of Gene Expression and Location Data

  • Authors:
  • Chen-Hsiang Yeang;Tommi Jaakkola

  • Affiliations:
  • -;-

  • Venue:
  • BIBE '03 Proceedings of the 3rd IEEE Symposium on BioInformatics and BioEngineering
  • Year:
  • 2003

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Abstract

We develop a method for integrating time series expression profiles and factor-gene binding data to quantify dynamic aspects of gene regulation. We estimate latencies fo transcription activation by explaining time correlations between gene expression profiles through available factor-gene binding information. The resulting aligned expression profiles are subsequently clustered and again combined with binding information to determine groups or subgroups of co-regulated genes. The predictions derived from this approach are consistent with existing results ([11], [8]). Our analysis also provides several hypotheses not implicated in previous studies.