From 087995a8ff16131e891003228b3287fef53c99af Mon Sep 17 00:00:00 2001
From: Severin Dicks <37635888+Intron7@users.noreply.github.com>
Date: Thu, 1 Dec 2022 14:48:50 +0100
Subject: [PATCH] Update README.md

---
 README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/README.md b/README.md
index 2a3c1fd6..bb113d63 100644
--- a/README.md
+++ b/README.md
@@ -40,7 +40,7 @@ As of version `0.3.0` `rapids_singlecell` has been updated to use functions of a
 The preprocessing of the single-cell data is performed with `cunnData`. It is a replacement for the [AnnData](https://github.com/scverse/anndata) object used by scanpy. The `cunnData` object is a cutdown version of an `AnnData` object. At its core lies a sparse matrix (`.X`) within the GPU memory. `.obs` and `.var` are pandas data frame and `.uns` is a dictionary. It also supports `.layers` and `.obsm`. `.layers` are stored on the GPU, while `.obsm` is not.
 Since version `0.3.0` you can use cunnData for spatial transcriptomics datasets.\
 `cunnData` includes methods for:
-* `__getiem__` to filter the object based on `.obs`. 
+* `__getiem__` to filter the object based on `.obs` and `.var`. 
 * transform cunnData object to AnnData object
 
 ### cunnData_funcs or pp