Metadata-Version: 2.1
Name: depro
Version: 0.0.9
Summary: a package for Decomposition of Profile Data
Home-page: https://github.com/mizuno-group
Author: tadahaya mizuno
Author-email: tadahaya@gmail.com
License: MIT
Description: # depro  
        a package for Decomposition profile data analysis to grasp the effects of small compounds.  
        
        # Dependency  
        * python 3.6  
        * requirements: numpy, pandas, scipy, tqdm, enan  
          
        # Setup  
        `pip install depro`  
        * for conda environment, please use skeleton  
          
        # Usage  
        see samplecode.ipynb  
           
        # Licence  
        This software is released under the MIT License.  
        
        # Authors  
        MIZUNO Tadahaya
        
        # References  
        This package is inspired from the following brilliant databases and studies:  
        * Nat Genet. 2003 Jul;34(3):267-73.  
        * PNAS. October 25, 2005 102 (43) 15545-15550.  
        * BMC Bioinformatics. 2013;128(14).  
        * Enrichr: a comprehensive gene set enrichment analysis web server 2016 update. Nucleic Acids Research. 2016; gkw377 .  
        * Science. 2006 Sep 29;313(5795):1929-35.  
        * [MsigDB](https://www.gsea-msigdb.org/gsea/msigdb/index.jsp)  
        * [EnrichR](https://amp.pharm.mssm.edu/Enrichr/)  
        * [CMap](https://portals.broadinstitute.org/cmap/)  
        Also our results:  
        * Development of Orthogonal Linear Separation Analysis (OLSA) to Decompose Drug Effects into Basic Components. Mizuno T, Kinoshita S, Ito T, Maedera S, Kusuhara H., Sci Rep. 2019 Feb 12;9(1):1824. doi: 10.1038/s41598-019-38528-4.  
        
        # Bug Report  
        If you would like to report any bugs about this package, don't hesitate to create an issue on github here, or email me:  
        * tadahaya@gmail.com  
        * tadahaya@mol.f.u-tokyo.ac.jp  
        * tadahaya@g.ecc.u-tokyo.ac.jp  
        
        # To Do  
        * prepare sample code
        
Keywords: omics,bioinformatics,transcriptome,chemoinformatics
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Environment :: Win32 (MS Windows)
Classifier: Framework :: IPython
Classifier: Intended Audience :: Science/Research
Classifier: Operating System :: Microsoft :: Windows :: Windows 10
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Requires-Python: >=3.6
Description-Content-Type: text/markdown
