Topics to be covered
Sections
Introduction
Three Steps
1 Select Features
Gene or Mass Charge
Statistical Methods
2 Test Features
Wfccm
Cross Validation
3 Apply to Testing Data
Permutation P Value
Select Features
Top N Selection
Cutoff Selection
Statistical Methods
Feature Testing
Wfccm
Distance
Cross Validation
Apply to Testing Data
Apply Features From Training
Permutation P Value
Run Setup demo
Loading data
Adding a DataSet
Choose log or not
Generate logged 2 or 10 if needed
Adding an InformationSet
Adding a logged DataSet
Loading a saved state
Generating data
Creating a DataGrouping
Generating Scores
Select statistical tests
Select cross-validation
Adding Scores
Creating a CriteriaManager
Cutoff
Adding criteria
TopN
Notice the ASC and DESC
Distance
Selecting a testing DataSet
Selecting test grouping(s)
Selecting training grouping(s)
Selecting CriteriaManager(s)
Saving state
Output overview
Summary Chart
How to read: Explanation of axes, legend and title
Selecting a model, how to read resultant output
Changing the labels
Missed Column Chart
How to read: Explanation of axes, legend and title
Additional information on patient
Eisens
Basic Generation
This topic: Main
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Projects
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MicroArrayMassSpec
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GeneralWfccmDesign
>
WfccmPresentation2005
Topic revision:
31 Jan 2005,
JeremyRoberts
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