From 6f2622a676b9b5bec9367eaaf262627e91f286c2 Mon Sep 17 00:00:00 2001
From: Akash Pandit <34327539+akash-pandit@users.noreply.github.com>
Date: Wed, 13 May 2026 20:30:42 -0700
Subject: [PATCH] syntax / spelling

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

diff --git a/README.md b/README.md
index 5050f36..99a6c5f 100644
--- a/README.md
+++ b/README.md
@@ -4,7 +4,7 @@
 
 cNMF is a pipeline for inferring gene expression programs from scRNA-Seq. It takes a count matrix (N cells X G genes) as input and produces a (K x G) matrix of gene expression programs (GEPs) and a (N x K) matrix specifying the usage of each program for each cell in the data. Read more about the method in the [publication](https://elifesciences.org/articles/43803) and check out examples on [simulated data](Tutorials/analyze_simulated_example_data.ipynb) and [PBMCs](Tutorials/analyze_pbmc_example_data.ipynb).
 
-We have also created a tutorial for running cNMF from R. See the [Rmd notebook](Tutorials/R_vignette.Rmd) or the [compiled html](Tutorials/R_vignette.nb.html) for this.
+We have also created a tutorial for running cNMF in R. See the [Rmd notebook](Tutorials/R_vignette.Rmd) or the [compiled html](Tutorials/R_vignette.nb.html) for this.
 
 # Installation
 cNMF has been tested with Python 3.7 and 3.10 and requires scikit-learn>=1.0, scanpy>=1.8, and AnnData>=0.9
@@ -105,7 +105,7 @@ cnmf_obj_corrected.prepare(counts_fn='./example_islets/batchcorrect_example.Corr
 # Change log
 
 ### New in version 1.7
-- Use scipy hierachical clsutering grather than fastcluster for compatibility with numpy>2.0
+- Use scipy hierarchical clustering rather than fastcluster for compatibility with numpy>2.0
 - More efficient sparse + batched OLS computation uses significantly less memory
 - Implemented basic testing suite