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path_values [2018/12/26 20:02] krian |
path_values [2020/04/03 20:18] (current) |
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* **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 circuit significance. More significant circuits are displayed in the upper part of the table. For each circuit, the following information is shown: | * **Path significance**: Ordered table of circuit significance. More significant circuits are displayed in the upper part of the table. For each circuit, the following information is shown: | ||
- | * **circuit/term**: Code identifying the circuit consisting in the name of the pathway to which it belongs, the initial node (if //Decompose paths// option was selected) and the effector (last) node of the path. | + | * **circuit/term**: Code identifying the circuit consisting in the name of the pathway to which it belongs and the effector (last) node of the path (//pathway Name : Effector//). |
* **UP/DOWN**: Up when the circuit is up-regulated in the disease case, DOWN otherwise. | * **UP/DOWN**: Up when the circuit is up-regulated in the disease case, DOWN otherwise. | ||
* **statistic**: Statistic of the Wilcoxon test performed between conditions. | * **statistic**: Statistic of the Wilcoxon test performed between conditions. | ||
* **p.value**: P-value of the statistic test. | * **p.value**: P-value of the statistic test. | ||
* **FDRp.value**: Adjusted p-value of the statistic test using the FDR method. | * **FDRp.value**: Adjusted p-value of the statistic test using the FDR method. | ||
+ | * **Fold Change**: is a measure describing how much the ** circuit activity** changes between conditions.[[https://en.wikipedia.org/wiki/Fold_change|reed more about Fold Change]] | ||
+ | * **logFC**: The logarithm to base 2 of calculated Fold change. |