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prediction [2021/01/30 08:16] – [Model evaluation] clouceraprediction [2021/01/30 14:22] (current) – [Model explanation] krian
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 You can download the filtered circuits that best differentiate your phenotype. This section is only available when selecting //Rank and filter circuits// option. You can download the filtered circuits that best differentiate your phenotype. This section is only available when selecting //Rank and filter circuits// option.
 {{ ::predictionmodelreport.png?nolink |}} {{ ::predictionmodelreport.png?nolink |}}
 +
 +===== Test report =====
 +When you select //Use existing predictor// you will have a different report for your test prediction study.
 +The test report is divided into four different panels:
 +{{ ::testpresdictionreport.png?nolink |}}
 +==== Study Information ====
 +As explained before, here you can find the information about the current study.
 +==== Input Parameters ====
 +The parameters with which the test study was launched, such as the name of the used expression file and the Species.
 +==== Circuit values ====
 +This matrix file indicates for each “effector circuit” the level of activation calculated using Hipathia method for each sample.
 +==== Prediction model ====
 +This is the most important result, this table is the predicted design file for your selected expression matrix using a previously trained model.
 +
 +
 +
 ===== Workflow ===== ===== Workflow =====
 The prediction tool is based on a machine learning module, this module of the Hipathia web tool can be summarized as follows: The prediction tool is based on a machine learning module, this module of the Hipathia web tool can be summarized as follows:
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       * Note that all curve visualizations have been done using the specialized R package ''PRROC'' [3]       * Note that all curve visualizations have been done using the specialized R package ''PRROC'' [3]
  
 +/*
 === Breast Cancer Molecular Subtype Classification === === Breast Cancer Molecular Subtype Classification ===
  
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 {{ :test_probability_boxplot.png?400 | ROC curve for the test split. }} {{ :test_probability_boxplot.png?400 | ROC curve for the test split. }}
 +*/
  
 ===== Bibliography ===== ===== Bibliography =====
prediction.1611994580.txt.gz · Last modified: 2021/01/30 08:16 by cloucera