(r3) WfccmPresentation2005 < Main < Vanderbilt Biostatistics Wiki

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Topics to be covered

Sections

Introduction
1. Basics
  1. Study types
  2. Goals (gene selection,
  3. process (DataGroupings, scoring, distance, output)
2. Data Description
  1. Columns
  2. Rows
  3. Patients
  4. Training vs Testing
3. Data Example
4. Analysis Methods
  1. TopN Selection
  2. Cutoff Selection
  3. Distance
  4. Distance pvalue
  5. Cross-validation
5. Output
  1. Train Test Graph
  2. Eisen
Run Setup demo
1. Loading data
  1. Adding a DataSet
    1. Choose log or not
    2. Generate logged 2 or 10 if needed
  2. Adding an InformationSet
  3. Adding a logged DataSet
  4. Loading a saved state
2. Generating data
  1. Creating a DataGrouping
    1. Generating Scores
      1. Select statistical tests
      2. Select cross-validation
    2. Adding Scores
  2. Creating a CriteriaManager
    1. Cutoff
      1. Adding criteria
    2. TopN
      1. Notice the ASC and DESC
  3. Distance
    1. Selecting a testing DataSet
      1. Selecting test grouping(s)
    2. Selecting training grouping(s)
    3. Selecting CriteriaManager(s)
3. Saving state
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

Topic revision: r3 - 13 Jan 2005, WillGray

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