worked_example_prediction_-_train
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Worked example Prediction - Train
- Log in into HiPathia. For further information on this step visit Logging in.
- We will work with a Breast Cancer dataset from the repository The Cancer Genome Atlas. You can download the expression matrix and the experimental design from these links:
- Expression matrix: brca_genes_vals_bn.txt
- Experimental design: brca_normal-basal_ed.txt
- Upload the data to HiPathia in the data panel by clicking on My data. For further information on this step visit Upload your data.
- Press the Prediction button.
- In the Type panel select Train new model.
- In the Input data panel select Expression matrix. Press the File browser of the Expression matrix file, and select the desired file.
- In the Design data panel select Two group comparison. Press the File browser of the Experimental design file, and select the desired file. Automatically Condition 1 and Condition 2 files are selected. Change Condition 1 to “Tumor” and Condition 2 to “Normal”.
- Select Human as species (by default).
- In the Function level analysis, check both checkboxes, Gene ontology and Uniprot keywords.
- In the Pathways panel select all the pathways (by default).
- In the Job information panel, press the File browser button and select the desired output folder. In this case we will use analysis. Give a name to the job, for example “BRCA train model”.
- Press the Launch job button. A job will be created and listed in the jobs panel. You can access this panel by clicking on the My jobs button.
worked_example_prediction_-_train.1450784164.txt.gz · Last modified: 2017/05/24 14:33 (external edit)