Contents
How are the results presented in geo2r data set?
Results are presented as a table of genes ordered by significance, and as a collection of graphic plots to help visualize differentially expressed genes and assess data set quality. GEO2R performs comparisons on original submitter-supplied processed data tables using the GEOquery and limma R packages from the Bioconductor project.
How is geo2r used to identify differential expression of genes?
GEO2R is an interactive web tool that allows users to compare two or more groups of Samples in a GEO Series in order to identify genes that are differentially expressed across experimental conditions. Results are presented as a table of genes ordered by significance.
When do you use difference in difference estimation?
Difference-in-Difference estimation, graphical explanation DID is used in observational settings where exchangeability cannot be assumed between the treatment and control groups.
Where do I enter the Geo accession number?
If you followed a link from a Series record, the GEO accession box will already be populated. Otherwise, enter a Series accession number in the box, e.g., GSE25724.
Can you analyze any series of geo data?
GEO2R can access and analyze almost any GEO Series, regardless of data type and quality, so the user must be aware of the following limitations and caveats. Check that Sample values are comparable: GEO2R operates on Series Matrix files which contain data extracted directly from the VALUE column of Sample tables.
How to use geo2r to find differentially expressed genes?
Use GEO2R to compare two or more groups of Samples ( within a single GEO experiment) in order to identify genes that are differentially expressed across experimental conditions. Results are presented as a table of genes ordered by significance.
What does the box plot on geo2r-bits mean?
The box plot feature on the Value distribution tab is provided to help users assess whether the distributions of values across Samples are median-centered, which is generally indicative that the data are normalized and cross-comparable.