RNA-Sieve is a method for the deconvolution of bulk cell samples via single-cell RNA expression data.
Our preprint is currently available at https://www.biorxiv.org/content/10.1101/2020.10.01.322867v1.
If you find RNA-Sieve useful, please cite our work at:
RNA-Sieve: A likelihood-based deconvolution of bulk gene expression data using single-cell references
Dan D. Erdmann-Pham, Jonathan Fischer, Justin Hong, Yun S. Song
bioRxiv 2020.10.01.322867; doi: https://doi.org/10.1101/2020.10.01.322867
For Python 3, we recommend that you install rnasieve via pip.
$ pip3 install rnasieve
For example usage, please reference the example Jupyter notebook for Python 3 usage, or the Mathematica notebook for Mathematica usage.
The core algorithm is called find_mixtures/findMixtures which takes in a vector of bulk expressions to be deconvolved and reference matrices of means, variances, and sample counts.
Currently, only the Python library takes allows for multiple bulks to be jointly deconvolved with a single set of reference matrices.