readme

Author: Chester75321

README.md

@@ -17,7 +17,7 @@ $ pip install GenEpi
 
 GenEpi takes the [Genotype File Format](http://www.stats.ox.ac.uk/~marchini/software/gwas/file_format_new.html) (.GEN) used by Oxford statistical genetics tools, such as IMPUTE2 and SNPTEST as the input format for genotype data. If your files are in [PLINK format](https://www.cog-genomics.org/plink/1.9/formats) (.BED/.BIM/.FAM) or [1000 Genomes Project text Variant Call Format](https://www.cog-genomics.org/plink/1.9/formats#vcf) (.VCF), you could use [PLINK](https://www.cog-genomics.org/plink/1.9/) with the following command to convert the files to the .GEN file.
 
-If your files are in the **.BED/.BIM/.FAM** format.
+If your files are in the **.BED/.BIM/.FAM** format.
 ```
 $ plink --bfile prefixOfTheFilename --recode oxford --out prefixOfTheFilename
 ```
@@ -100,7 +100,7 @@ All of the within-gene epistasis selected by sinlge-gene models will be stored i
 
 **4\. Model Persistance**
 
-The final models of the step five and step six would be persisted in the folder **crossGeneResult** as **RFClassifier/Regressor.pkl** and **RFClassifier/Regressor_Covariates.pkl** respectively. You could load these models for future use without having to retrain.
+The final models of the step five and step six will be persisted in the folder **crossGeneResult** as **RFClassifier/Regressor.pkl** and **RFClassifier/Regressor_Covariates.pkl** respectively. You could load these models for future use without having to retrain.
 
 ## Meta
 Chester (Yu-Chuan Chang) - [email protected]  

setup.py

@@ -15,7 +15,7 @@
 
 setup(
     name = 'genepi',
-    version = '1.0.4',
+    version = '1.0.5',
     description = 'A package for detecting epsitasis by machine learning',
     long_description=long_description,
     long_description_content_type='text/markdown',
@@ -32,7 +32,7 @@
         'Topic :: Scientific/Engineering :: Bio-Informatics',
         'Topic :: Scientific/Engineering :: Artificial Intelligence',
     ],
-    keywords = ['epistasis', 'SNP-SNP interactions'],
+    keywords = ['epistasis', 'SNP-SNP interactions', 'GWAS'],
     packages = ['genepi'],
     install_requires=[
         'pymysql>=0.8.0',