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function_based_analysis [2015/12/21 17:15] – created mhidalgofunction_based_analysis [2017/05/24 14:33] (current) – external edit 127.0.0.1
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   * **Heatmap**: A heatmap is a graphical representation of the values of a matrix. A not-supervised clustering is performed on the data per columns (samples). A good separation between the two colors of the upper bar of the heatmap indicates that the differences between the two groups are big enough to discriminate between them.   * **Heatmap**: A heatmap is a graphical representation of the values of a matrix. A not-supervised clustering is performed on the data per columns (samples). A good separation between the two colors of the upper bar of the heatmap indicates that the differences between the two groups are big enough to discriminate between them.
   * **PCA**: A Principal Components Analysis is performed in order to see if the matrix contains information enough to separate between the two groups.    * **PCA**: A Principal Components Analysis is performed in order to see if the matrix contains information enough to separate between the two groups. 
-  * **Path significance**: Ordered table of the functions significance. More significant terms are displayed in the upper part of the table. For each functional term, the following information is shown:+  * **Circuit significance**: Ordered table of the functions significance. More significant terms are displayed in the upper part of the table. For each functional term, the following information is shown:
     * **path/term**: Name of the function.     * **path/term**: Name of the function.
     * **UP/DOWN**: Up when the function is up-regulated in the disease case, DOWN otherwise.     * **UP/DOWN**: Up when the function is up-regulated in the disease case, DOWN otherwise.
function_based_analysis.1450718122.txt.gz · Last modified: 2017/05/24 14:33 (external edit)