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prediction [2016/12/23 01:06] – ccubukprediction [2017/05/24 14:33] (current) – external edit 127.0.0.1
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 ====== Prediction ====== ====== Prediction ======
 +
 +===== Train =====
  
 The aim of the //Prediction// tool is to take advantage of the module activities to distinguish between phenotypes.  The aim of the //Prediction// tool is to take advantage of the module activities to distinguish between phenotypes. 
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 Metabolizer Prediction uses the module activity values to compute a RF or SVM prediction model with cross-validation. Moreover, previously obtained models can be used to predict the phenotype of new samples. Metabolizer Prediction uses the module activity values to compute a RF or SVM prediction model with cross-validation. Moreover, previously obtained models can be used to predict the phenotype of new samples.
  
-RF: Random Forest +RF: Random Forest, SVM: Support Vector Machines
-SVM: Support Vector Machines+
  
 The tool can be accessed from the main menu bar, by clicking on the //Prediction// button, see [[workflow|Workflow]] for further information. The tool can be accessed from the main menu bar, by clicking on the //Prediction// button, see [[workflow|Workflow]] for further information.
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   * [[Input Parameters Prediction|Input Parameters]]   * [[Input Parameters Prediction|Input Parameters]]
-  * **Path values**: You can download the matrix of path values by clicking on Path values.+  * [[path values prediction | Path values]]
   * [[Prediction Model|Prediction Model]]   * [[Prediction Model|Prediction Model]]
 +
 +===== Test =====
 +
 +  * [[Input Parameters Prediction Test|Input Parameters]]
 +  * [[path values prediction test | Path values]]
 +  * [[Prediction Results |Prediction Results]]
prediction.1482455191.txt.gz · Last modified: 2017/05/24 14:33 (external edit)