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Topics to be covered

Sections
  1. Introduction
    1. Basics
      1. Study types
      2. Goals (gene selection,
      3. process (data groupings, scoring, distance, output)
    2. Data Description
      1. Columns
      2. Rows
      3. Patients
      4. Training vs Testing
    3. Data Example
    4. Analysis Methods
      1. Top N Selection
      2. Cutoff Selection
      3. Distance
      4. Distance pvalue
      5. K-Cross
    5. Output
      1. Train Test Graph
      2. Eisen
  2. Run Setup demo
  3. Output overview
    1. Summary Chart
      1. How to read: Explanation of axes, legend and title
      2. Selecting a model, how to read resultant output
      3. Changing the labels
    2. Missed Column Chart
      1. How to read: Explanation of axes, legend and title
      2. Additional information on patient
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Topic revision: r2 - 13 Jan 2005, NimishGautam
 

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