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Tutorial on DNA array data clustering

  1. Introduction
    1. cDNA arrays
    2. Gene expression patterns
    3. Scale Transformation
    4. Distance functions
    5. Clustering with UPGMA
    6. Clustering with SOM
    7. Clustering with SOM-Tree
    8. Clustering with SOTA
  2. Overview ot the whole process
    1. From the picture to the raw data
    2. From the raw data to the gene expression patterns
    3. Clustering of gene expression patterns
    4. Analysis of the results: data mining
  3. Example
    1. The data set
    2. Preprocessing
    3. Hierarchical clustering
    4. SOTA
    5. SOM
    6. SOM-Tree
  4. Practical exercises
    1. Clustering with SOTA
    2. Classical hierarchical clustering (UPGMA)
    3. Self-Organizing Maps
    4. SOM-Tree
    5. Play with more examples
    6. Analysis of the results: data mining

Send comments.   Last rev. Friday 17 January 2003