From 9f002914da2ceb5ac24c78cdc756b7fcbfa11e73 Mon Sep 17 00:00:00 2001 From: Luiz Irber Date: Tue, 26 Mar 2024 08:41:27 -0700 Subject: [PATCH] Fix footnote in JOSS paper --- paper/paper.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/paper/paper.md b/paper/paper.md index 578071b63..e46b5e169 100644 --- a/paper/paper.md +++ b/paper/paper.md @@ -60,7 +60,7 @@ These new data profit much from the application of the scalable machine learning `AnnData` is designed for data scientists and was inspired by a similar data structure in the R ecosystem, `ExpressionSet` [@Huber2015], filling this gap in the Python ecosystem.[^1] -^1: Please note that `AnnData` denotes the class (data structure), whereas anndata denotes the software package (python module). +[^1]: Please note that `AnnData` denotes the class (data structure), whereas anndata denotes the software package (python module). Within the pydata ecosystem, xarray [@Hoyer2017] enables to deal with labeled data tensors of arbitrary dimensions, while pandas [@McKinney2010] operates on single data matrices (tables) represented as `DataFrame` objects. anndata is positioned in between pandas and xarray by providing structure that organizes data matrix annotations. In contrast to pandas and xarray, `AnnData` offers a native on-disk format that allows sharing data with analysis results in form of learned annotations.