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Jeremy Manning
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fixed typo in readme
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README.md

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@@ -10,7 +10,7 @@ This Python toolbox was developed by [Jeremy Manning](http://www.context-lab.com
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SeqNMF uses regularized convolutional non-negative matrix factorization to extract repeated sequential patterns from high-dimensional data. The algorithm can discovery of patterns directly from timeseries data without reference to external markers or labels.
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For more information please see:
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- [**Original MATLAB implementation**](https://github.com/FeeLab/seqNMF)
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- [**Original MATLAB implementation**](https://github.com/FeeLab/seqNMF)
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- [**preprint**](https://www.biorxiv.org/content/early/2018/03/02/273128)
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To install the (bleeding edge) development version type
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```
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pip install --upgrade git+https://github.com/ContextLab/seqNMF
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pip install --upgrade git+https://github.com/ContextLab/seqnmf
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```
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### Using the toolbox

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