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gettin [2010/05/05 15:33] jcarbonell |
gettin [2010/05/07 21:37] (current) jcarbonell |
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You can see details of these steps animated: | You can see details of these steps animated: | ||
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+ | |||
+ | <html> | ||
+ | <!-- | ||
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- | <SCRIPT src='http://bioinfo.cipf.es/seawiki/lib/exe/fetch.php?media=videos:masigpro.js'></script> | + | --> |
</html> | </html> | ||
- | |||
===== Quick Start with maSigPro ==== | ===== Quick Start with maSigPro ==== | ||
- | - Once data is in your work space, go to the maSigPro tab and select you expression dataset and covariates. The covariates files is parsed and you are prompted to select quantitative factor, qualitative factor and control group (go to [[masigpro | maSigPro help]] for more details of the algorithm). | + | - Once data is in your work space, go to the maSigPro tab and select your expression dataset and covariates. The covariates files is parsed and you are prompted to select quantitative factor, qualitative factor and control group (go to [[masigpro | maSigPro help]] for more details of the algorithm). |
- Your job name appears at the Job list panel in red. Once it is completed, the name turns green. | - Your job name appears at the Job list panel in red. Once it is completed, the name turns green. | ||
- Click on the job name to go to the results page. | - Click on the job name to go to the results page. | ||
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You can also see this animated: | You can also see this animated: | ||
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- | </html> | + | |
+ | <html> | ||
+ | <!-- | ||
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+ | </html> | ||
===== Quick Start with ASCA-genes ==== | ===== Quick Start with ASCA-genes ==== | ||
- | - Once data is in your work space, go to the ASCA-genes tab and select you expression dataset and covariates. You can run the program with the default parameters or change them. (Go to [[ASCAgenes | ASCA-genes help]] for more details of the algorithm). | + | - Once data is in your work space, go to the ASCA-genes tab and select your expression dataset and covariates. You can run the program with the default parameters or change them. (Go to [[ASCAgenes | ASCA-genes help]] for more details of the algorithm). |
- Your job name appears at the Job list panel in red. Once it is completed, the name turns green. | - Your job name appears at the Job list panel in red. Once it is completed, the name turns green. | ||
- Click on the job name to go to the results page. | - Click on the job name to go to the results page. | ||
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- Finally, trajectory plots show the general trends identified by the ASCA submodels. | - Finally, trajectory plots show the general trends identified by the ASCA submodels. | ||
- | You can also see this animated (VIDEO 3). | + | You can also see this animated: |
+ | [[http://bioinfo.cipf.es/seawiki/lib/exe/fetch.php?media=videos:asca_genes.html|{{ :videos:asca_genes_video_mini.png |}}]] | ||
+ | <html> | ||
+ | <!-- | ||
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+ | </html> | ||
===== Quick Start with ASCA-functional ==== | ===== Quick Start with ASCA-functional ==== | ||
- | - Once data is in your work space, go to the ASCA-functional tab and select you expression dataset and covariates. You can run the program with the default parameters or change them. (Go to [[ascafunctional | ASCA-functional help]] for more details of the algorithm). | + | - Once data is in your work space, go to the ASCA-functional tab and select your expression dataset and covariates. You can run the program with the default parameters or change them. (Go to [[ascafunctional | ASCA-functional help]] for more details of the algorithm). |
- You can choose here the organism of your study to obtain the annotations. | - You can choose here the organism of your study to obtain the annotations. | ||
- If the species you are working with is not in the SEA-database you can select the annotations previously uploaded. | - If the species you are working with is not in the SEA-database you can select the annotations previously uploaded. | ||
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- Secondly, trajectory plots show the general trends identified by the ASCA submodels. | - Secondly, trajectory plots show the general trends identified by the ASCA submodels. | ||
- A table for each principal component (PC) is showed with the Fatiscan results. | - A table for each principal component (PC) is showed with the Fatiscan results. | ||
- | - In this tables Functional Categories can be sorted by the adjusted p-values. | + | - In these tables Functional Categories can be sorted by the adjusted p-values. |
| | ||
- | You can also see this animated (VIDEO 4). | + | You can also see this animated: |
+ | |||
+ | |||
+ | [[http://bioinfo.cipf.es/seawiki/lib/exe/fetch.php?media=videos:asca_functional.html|{{ :videos:asca_functional_video_mini.png |}}]] | ||
+ | |||
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+ | </html> |