GEO Data Sets ============= ![GEO Data Sets widget icon](icons/geo-data-sets.png) Provides access to data sets from gene expression omnibus ([GEO DataSets](http://www.ncbi.nlm.nih.gov/gds)). Signals ------- **Inputs**: - (None) **Outputs**: - **Data** Data set selected in the widget with genes or samples in rows. Description ----------- **[GEO DataSets](http://www.ncbi.nlm.nih.gov/gds)** is a data base of gene expression curated profiles maintained by [NCBI](http://www.ncbi.nlm.nih.gov/) and included in the [Gene Expression Omnibus](http://www.ncbi.nlm.nih.gov/geo/info/datasets.html). This Orange widget provides access to all its data sets and outputs a data set selected for further processing. For convenience, each dowloaded data set is stored locally. ![GEO Data Sets widget](images/GEOdataset-stamped.png) 1. Information on the GEO data set collection. Cached data sets are the ones currently stored on the computer. 2. Output features. If *Genes or spots* is selected, genes (or spots) will be used as attributes. Alternatively samples will be used as attributes. *Merge spots of same gene* averages measures of the same gene. Finally, in the *Data set name* you can rename the output data. GEO title will be used as a default name. 3. If *Auto commit is on*, then the selected data set will be automatically communicated to other widgets. Alternatively, click *Commit*. 4. *Filter* allows you to search for the data set. Below you see a list of GEO data sets with an ID number (link to the NCBI Data Set Browser), title, organism used in the experiment, number of samples, features, genes, subsets and a reference number for the PubMed journal (link to the article abstract). 5. Short description of the experiment from which the data set is sourced. 6. Select which *Sample Annotations* will be used in the output. Example ------- **GEO Data Sets** is similar to the **File** widget. In the example below we selected *Caffeine effect: time dose and response* data set from the GEO data base and used *Genes or spots* as attributes. We inspected the data in *Data Table*. Then we selected 3 genes in the **Select Columns** widget for a detailed analysis in another data table. ![](images/GEODataSets-Example2.png)