Keith A. Baggerly
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Research Interests:

  • Proteomics (mass spectrometry)
  • Microarrays
  • Serial analysis of gene expression

My research focuses on the processing of high-throughput bioinformatics experiments. While most biological questions of interest center on the identification of genes or proteins that ahcnge in going from one group of individuals to another (e.g., cancer vs normal), there are a number of questions of experimental design and data preprocessing that need to be addressed first. We have worked on exploiting replication to get more stable estimates of differential expression on microarrays, using hierarchical models to get better estimates of differential expression with SAGE data, and on cleaning of proteomics spectra to render analyses more stable.

A tutorial in my lab would involve the analysis of a set of microarray or proteomics experiments.


invited talk
flag The Importance of Reproducible Research in High-Throughput Biology: Case Studies in Forensic Bioinformatics
as author at  Cancer Bioinformatics Workshop, Cambridge 2010,