Update README.md

README.md

@@ -2,6 +2,8 @@
 Compressed sensing scheme recovering single cell expression profile 
 https://doi.org/10.1101/338319
 
+\\
+
 Put ***star.m***, ***process.m***, ***recover.m***, ***l1eq_pd.m*** in the same folder. You only need use **MATLAB** to run ***star.m***.
 
 Enter the following code in the command-line window.
@@ -13,12 +15,12 @@ star(k,pcell,p,alpha);
 
 ***star.m*** calls ***process.m***.（line21）and calculates the correlation coefficient.
 
-***process.m*** divides the data into block and calls ***recover.m*** to infer the data. （line42）
+***process.m*** divides the data into block and calls ***recover.m*** to infer the data. (line42)
 
-(**WARNING**) In ***process.m***, you need to set the path of your data file. （line15）
+(**WARNING**) In ***process.m***, you need to set the path of your data file. (line15)
 
-And You need to make sure that the read data matrix is $cells×genes$.
+And You need to make sure that the read data matrix is <code>cells×genes</code>.
 
-***recover.m*** calls ***l1eq_pd.m*** to complete Compressed Sensing.（line43)
+***recover.m*** calls ***l1eq_pd.m*** to complete Compressed Sensing.(line43)
 
 You can use ***smallCS.m*** as an example to run.