From a89199d5cba2b87e38071d78ed52be9aa5e3b4d2 Mon Sep 17 00:00:00 2001
From: Dong555 <65973006+Dong555@users.noreply.github.com>
Date: Fri, 12 Jan 2024 15:45:49 -0800
Subject: [PATCH] Update README.rst

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

diff --git a/README.rst b/README.rst
index ca743ea..7cd9bf4 100644
--- a/README.rst
+++ b/README.rst
@@ -43,7 +43,7 @@ SuSiE PCA is the abbreviation for the Sum of Single Effects model [1]_ for princ
 for an efficient variable selection in PCA when dealing with high dimensional data with sparsity, and for quantifying
 uncertainty of contributing features for each latent component through posterior inclusion probabilities (PIPs). We
 implement the model with the `JAX <https://github.com/google/jax>`_ library developed by Google which enable the fast
-training on CPU, GPU or TPU.
+training on CPU, GPU or TPU. The paper has been published in `iScience (2023) <https://www.cell.com/iscience/fulltext/S2589-0042(23)02258-7?_returnURL=https%3A%2F%2Flinkinghub.elsevier.com%2Fretrieve%2Fpii%2FS2589004223022587%3Fshowall%3Dtrue>`_
 
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