• Corpus ID: 239009438

cellanneal: A User-Friendly Deconvolution Software for Omics Data

@inproceedings{Buchauer2021cellannealAU,
  title={cellanneal: A User-Friendly Deconvolution Software for Omics Data},
  author={Lisa Buchauer and Shalev Itzkovitz},
  year={2021}
}
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… 

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