This repository was put together for ECES640 at Drexel University. The purpose of this code is to: (a) demonstrate new software tools for pattern recognition and machine learning in Python, (b) demonstrate manipulations of biological data formats in Python, (c) implement basic multi-purpose modules, and (d) provide you with some code to accompony the lectures on dimensionality reduction.
- You must have Scikits-Learn installed
- You must have Numpy, Scipy, and Matplotlib installed
- The presentation can be found on SpeakerDeck
- All code is licensed under the GPL v3.0
- UniFrac paper
- PyCogent: this software implements PCoA with a bunch of different distances. its easy to install on linux and macs.
- UniFrac Webserver and QIIME