Patients stratification with Graph-regularized Non-negative Matrix Factorization (GNMF) in Python.
The minimum required dependencies to run the software are:
- Python >= 3.4
- NumPy >= 1.6
- SciPy >= 0.7.2
- matplotlib >= 0.98.4
- scikit-learn >= 0.19
- pandas >= 0.1
- tqdm>=4.15.0
If you want to launch Reproducibility project by Jupyter Notebook, you will also need:
- ipython>=1.1.0
- jupyter
To reproduce the confusion matrix figure of our paper about reproducibility in bioinformatics, you have two options:
- Follow the Jupyter Notebook reproducibility.ipynb
- Build & run the Docker container with:
~$ mkdir <your_output_folder_outside_stratipy_folder>
~$ docker build -t repro .
~$ docker run -v /absolute/path/of/<your_output_folder_outside_stratipy_folder>:/reproducibility/reproducibility_output repro
For Windows or Mac users: total runtime memory of Docker is fixed to 2 GB by default. In order to launch this project, you have to increase this limit (approximately 7 GB):
- Network-based stratification of tumor mutations (Hofree et al. Nat. Meth. 2013)
- Consensus clustering: a resampling-based method for class discovery and visualization of gene expression microarray data (Monti et al. Mach. Learn.2003)
- Experimenting with reproducibility: a case study of robustness in bioinformatics (Kim et al. GigaScience 2018)
- Network Based Stratification (NBS): Matlab code & data sets.
- NMF on Manifold (Graph), Deng Cai: Matlab code & data sets.
- NMF Toolbox: Matlab code.
- nimfa library: Python code.
StratiPy is BSD-licenced (3 clause):
This software is OSI Certified Open Source Software.
OSI Certified is a certification mark of the Open Source Initiative.
Copyright (c) 2014, authors of StratiPy
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
* Redistributions of source code must retain the above copyright notice,
this list of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above copyright notice,
this list of conditions and the following disclaimer in the documentation
and/or other materials provided with the distribution.
* Neither the names of StratiPy authors nor the names of any
contributors may be used to endorse or promote products derived from
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**This software is provided by the copyright holders and contributors
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