From b3d55afc7f0e1bbf6229ff5c9eb6e7f95828920b Mon Sep 17 00:00:00 2001
From: Alicen Henning <129797527+AlicenJoyHenning@users.noreply.github.com>
Date: Wed, 13 Nov 2024 15:09:25 +0200
Subject: [PATCH] Update README.md

---
 README.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/README.md b/README.md
index 89ac56c..9295de3 100644
--- a/README.md
+++ b/README.md
@@ -42,13 +42,13 @@ norm_counts <- FetchData(sobj, vars = "MALAT1")
 
 This can be fed into the _MALAT1_ threshold function which will return the minimum _MALAT1_ value that each cell should contain:
 
-```
+```R
 threshold <- define_malat1_threshold(norm_counts)
 ```
 
 This threshold value can be used to flag or filter cells from your single-cell object. The code below flags cells that don't pass the threshold by using `TRUE` values to represent good cells, and `FALSE` to represent cells that don't pass the filter:
 
-```
+```R
 # Assign MALAT1 expression to a meta data column
 sobj$malat1 <- norm_counts