This site is a development preview. As such the content and styling may not be final and is subject to change before going into production. To see more information about the redesign click here.

Menu

Analysis of microarray experiments

  1. Overview of statistical inference approaches for genomic experiments (S. Dudoit, V. J. Carey) (R)
  2. Distances and metrics for genomic experiments (R. Gentleman, B. Ding, S. Dudoit, and J. Ibrahim) (R)
  3. Clustering (K. S. Pollard and M. J. van der Laan) (R)
  4. Design and analysis of differential gene expression studies (D. Scholtens and A. von Heydebreck) (R)
  5. Multiple comparisons (K. S. Pollard, S. Dudoit, and M. J. van der Laan) (R)
  6. Machine learning in microarray analyses (V. J. Carey) (R)
  7. Computational inference (T. Hothorn, M. Dettling, P. Buhlmann) (R)
  8. Browser-based Affymetrix analysis and annotation (C. A. Smith) (R)