cellanneal: A User-Friendly Deconvolution Software for Omics Data
2021-10-15Code Available1· sign in to hype
Lisa Buchauer, Shalev Itzkovitz
Code Available — Be the first to reproduce this paper.
ReproduceCode
- github.com/libuchauer/cellannealOfficialIn papernone★ 18
Abstract
We introduce cellanneal, a python-based software for deconvolving bulk RNA sequencing data. cellanneal relies on the optimization of Spearman's rank correlation coefficient between experimental and computational mixture gene expression vectors using simulated annealing. cellanneal can be used as a python package or via a command line interface, but importantly also provides a simple graphical user interface which is distributed as a single executable file for user convenience. The python package is available at https://github.com/LiBuchauer/cellanneal , the graphical software can be downloaded at http://shalevlab.weizmann.ac.il/resources .