--- a/README.md
+++ b/README.md
@@ -1,20 +1,20 @@
-# Network-regularized Sparse Logistic Regression Models
-The NSLR package is the implementation of the methods in the following paper.
-
-Wenwen Min, Juan Liu*, Shihua Zhang*. Network-regularized Sparse Logistic Regression Models for Clinical Risk Prediction and Biomarker Discovery. Submitted to IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB).
-
-More descriptions about these functions can be found in their annotation part.
-
-# ---------------------------------------------------------------------------------------------------------------------------
-Note that before running the codes, please first set the path for "A_Simple_Example.R".
-Please run the following R command in the Console. 
->> source('A_Simple_Example.R')
-# ---------------------------------------------------------------------------------------------------------------------------
-
-
-
-
-
-
-
-
+# Network-regularized Sparse Logistic Regression Models
+The NSLR package is the implementation of the methods in the following paper.
+
+Wenwen Min, Juan Liu*, Shihua Zhang*. Network-regularized Sparse Logistic Regression Models for Clinical Risk Prediction and Biomarker Discovery. Submitted to IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB).
+
+More descriptions about these functions can be found in their annotation part.
+
+# ---------------------------------------------------------------------------------------------------------------------------
+Note that before running the codes, please first set the path for "A_Simple_Example.R".
+Please run the following R command in the Console. 
+ source('A_Simple_Example.R')
+# ---------------------------------------------------------------------------------------------------------------------------
+
+
+
+
+
+
+
+