OVERVIEW
Thousands of differential expression experiments are available in the platform. Genes in a set can be ranked based on these experiments to determine whether a gene is differentially expressed for a disease, phenotype, or compound.
STEPS
Note | A user action, such as click or enter, is italicized.A visible item on the platform, such as a [link] or a [button], is in square brackets.A link to another article or external source is underlined. |
1. Create or open an Analytic project and select genes of interest in the [Data Selection] section. The ranking analysis works best for genes.
2. Scroll down to the [Method Selection] section.
3. Click on the [Ranking Selection] tab to select the criteria for the genes ranking.
4. Click on the [information icon] to get a description of the ranking criteria.
5. Click the box next to [Differential expression] to make the selection.
Note
| The [Classification] ranking option is selected by default. |
6. The [Differential Expression Score] window appears with three categories for selection:
To determine whether a gene is differentially expressed in a disease: select [Disorders] and type in the name of the disease in the [Search for concept] text box. Select the term that best matches your input.
To determine whether a gene is differentially expressed after treatment with a compound: select [Chemicals & Drugs] and type in the name of the compound in the [Search for concept] text box. Select the term that best matches your input.
To determine whether a gene is differentially expressed in a phenotype: select [Physiology] and type in the name of the phenotype in the [Search for concept] text box. Select the term that best matches your input.
7. Click [Continue] after the entering the input. This will bring you back to the [Rank Selection] tab.
8. Click [Get Ranking] to view the result table. The [Differential expression] column shows the maximum log2FoldChange for a given disease, compound, or phenotype.
Note
| The [Classification] column contains short description for each gene in the table. |
9. In the result table:
Click on the [Differential expression] column header to sort the genes based on log2FoldChange values
Click 0n the log2FoldChange value to get details on the differential experiment in which the value is extracted.
10. Click [All] in right-hand corner of the table to save the results in a csv file
Related Resources
How to create an Analytics project and upload sets for analysis?
Was this article helpful?
That’s Great!
Thank you for your feedback
Sorry! We couldn't be helpful
Thank you for your feedback
Feedback sent
We appreciate your effort and will try to fix the article