Topics to be covered

Sections
  1. Introduction
    1. Three Steps
      1. 1 Select Features
        1. Gene or Mass Charge
        2. Statistical Methods
      2. 2 Test Features
        1. Wfccm
        2. Cross Validation
      3. 3 Apply to Testing Data
        1. Permutation P Value
    2. Select Features
      1. Top N Selection
      2. Cutoff Selection
      3. Statistical Methods
    3. Feature Testing
      1. Wfccm
      2. Distance
      3. Cross Validation
    4. Apply to Testing Data
      1. Apply Features From Training
      2. Permutation P Value
  2. 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
  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
    3. Eisens
      1. Basic Generation

This topic: Main > Projects > MicroArrayMassSpec > GeneralWfccmDesign > WfccmPresentation2005
Topic revision: 31 Jan 2005, JeremyRoberts
 
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