cellanneal: A User-Friendly Deconvolution Software for Omics Data

Autor:	Buchauer, Lisa, Itzkovitz, Shalev
Rok vydání:	2021
Předmět:	Quantitative Biology - Quantitative Methods Quantitative Biology - Genomics
Druh dokumentu:	Working Paper
Popis:	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 . Comment: 3 pages; for the cellanneal python package and general documentation see https://github.com/LiBuchauer/cellanneal ; for the cellanneal graphical user interface see http://shalevlab.weizmann.ac.il/resources/
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2110.08209 Zobrazit plný text záznamu View this record from Arxiv