Compute differentially expressed genes using Hypergeometric test (Illumina probes) (workflow)
- Workflow title
- Compute differentially expressed genes using Hypergeometric test (Illumina probes)
- Provider
- GeneXplain GmbH
Workflow overview
Description
This workflow is designed to identify upregulated and downregulated genes for experimental data with any number of data points for each experiment and control. It can be used even for the cases with one data point in each experiment and control.
As input, the normalized data with Illumina probe IDs or Illumina gene IDs can be submitted, both types of IDs can be treated.
Such normalized files are resulting from the output of the “Normalize data” procedure under “analyses/Methods/Data normalization/Normalize Illumina experiment and control”.
At the next step, p-value is calculated for up-and down-regulated Illumina IDs. This workflow applies hypergeometric analysis for p-value calculation.
Simultaneously, log fold change is calculated for each ID, and as the result of this step, a table is produced in which both LogFoldChange and p-value are assigned to each Illumina ID.
Further, this table is filtered by several conditions in parallel, to identify upregulated, downregulated, as well as a joint table of up- & downregulated Illumina IDs.
The filtering criteria are set as the following.
For upregulated probes: LogFoldChange>0.5 and -log_P_value_>3.
For downregulated probes: LogFoldChange<-0.5 and -log_P_value_<-3.
For up- & downregulated probes: (LogFoldChange>0.5 and -log_P_value_>3 & LogFoldChange<-0.5 and -log_P_value_<-3)
Resulting tables of the upregulated, downregulated, and up- & downregulated Illumina IDs are annotated with additional information, gene description, gene symbols, species.
Finally, these tables are converted into the tables of genes. Two tables are produced, with Ensembl
Parameters
- Experiment normalized
- Control normalized
- Species
- Results folder
