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ppavlidis committed Jun 27, 2024
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Expand Up @@ -45,7 +45,7 @@ However, most users will find more convenient programmatic access to Gemma's dat
and <a href="https://github.com/PavlidisLab/gemmapy">gemmapy</a> (Python).

The R and Python packages offer similar functionality and have their own documentation and examples/vignettes. For convenience we have
gathered some examples in both languages here **[here](R-python-examples.html)**.
gathered some examples in both languages **[here](R-python-examples.html)**.

## Data sources
We are indebted to the many researchers who have made data publicly available. Lists of published papers that relate to the data included in Gemma are available [here (full list)](https://gemma.msl.ubc.ca/bibRef/showAllEeBibRefs.html) and [here (search)](https://gemma.msl.ubc.ca/bibRef/searchBibRefs.html).
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