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examples.development [2010/03/25 15:09] mjnueda |
examples.development [2010/05/04 15:26] mjnueda |
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| ====== Development Example====== | ====== Development Example====== | ||
| - | + | Data:{{:subset_development_4t_data.zip|}} | |
| - | Data:{{:subset_hypoxia_4t_data.zip|}} | + | |
| \\ | \\ | ||
| Covariates:{{:development_covariates.txt|}} | Covariates:{{:development_covariates.txt|}} | ||
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| ====== ASCA-Functional ====== | ====== ASCA-Functional ====== | ||
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| - | By aaplying ASCA-Functional to the first component of the submodel Treatment+TimexTreatment and considering a significant level of 0.05 in the GSA analysis we detected as significant the following categories: | + | By applying ASCA-Functional to the first component of the submodel Treatment+TimexTreatment and considering a significant level of 0.05 in the GSA analysis we detected as significant 13 functional categories. |
| + | The categories with an adjusted p-value less than 0.05 appear in the first two tables of the ASCA-Functional results. | ||
| \\ | \\ | ||
| - | {{:hypoxia_ascafunt.png?400|}} | + | {{:hypoxia_ascafunt.png?600|}} |
| ====== maSigPro ====== | ====== maSigPro ====== | ||
| General trends showed with ASCA-genes module suggest that a quadratic model can be adequate to study gene expression evolution. By applying maSigPro with degree=2 (the quadratic model), R-squared=0.8 and alpha=0.05 we obtained as significant: | General trends showed with ASCA-genes module suggest that a quadratic model can be adequate to study gene expression evolution. By applying maSigPro with degree=2 (the quadratic model), R-squared=0.8 and alpha=0.05 we obtained as significant: | ||
