tauhidstanford / Feature-augmented-embedding-machine

[Nature Biomedical Engineering, 2020] A broadly applicable algorithm for dimensionality reduction to reveal underlying trends in a range of biomedical datasets
GNU Lesser General Public License v2.1
15 stars 2 forks source link

Feature-augmented-embedding-machine

A broadly applicable algorithm for dimensionality reduction to reveal underlying trends in a range of biomedical datasets

The code is for article "A data-driven dimensionality-reduction algorithm for the exploration of patterns in biomedical data" by Md Tauhidul Islam and Lei Xing, in press, 2020, Nature Biomedical Engineering

Codes here are as protected format (.p). Please contact at tauhid at stanford.edu if you need the MATLAB source code for your analyses.

Please also check this repository for Python implementation.

Please cite the paper as follows:

@article{islam2021data, title={A data-driven dimensionality-reduction algorithm for the exploration of patterns in biomedical data}, author={Islam, Md Tauhidul and Xing, Lei}, journal={Nature Biomedical Engineering}, volume={5}, number={6}, pages={624--635}, year={2021}, publisher={Nature Publishing Group} }