We present a standalone implementation of a data-deconvolution method based on singular value decomposition. The tool is written in python and packaged in the open-source yonder package. yonder receives as input two matrices, one for the data and another for the errors, and outputs a denoised version of the original dataset. In this Research Note, we briefly describe the methodology and show a demonstration of the yonder on a simulated dataset.
@article{arxiv.2203.08071,
title = {yonder: A python package for data denoising and reconstruction},
author = {Peng Chen and Rafael S. de Souza},
journal= {arXiv preprint arXiv:2203.08071},
year = {2022}
}