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 `UCell` is an R package for calculating gene signatures in single-cell datasets. UCell enrichment scores, based on the Mann-Whitney U statistic, are robust to dataset size and heterogeneity, and their calculation demands relatively less computing time and memory than other available methods, enabling the processing of large datasets (>10^5 cells). UCell can be applied to any cell vs. gene data matrix, and includes functions to directly interact with Seurat objects. 
 
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+![UCell_figure](https://github.com/carmonalab/UCell/blob/master/docs/Figure1.png?raw=true)
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 Find the installation instructions for the package and usage vignettes below.
 
 ### Package Installation
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 * [Using UCell with Seurat objects](https://carmonalab.github.io/UCell/UCell_Seurat_vignette.html)
 
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-![UCell_figure](https://github.com/carmonalab/UCell/blob/master/docs/Figure1.png?raw=true)
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 ### Documentation
 
 See a description of the functions implemented in UCell at: [UCell functions](docs/functions.md)