Nature Communications (Oct 2021)

Bayesian log-normal deconvolution for enhanced in silico microdissection of bulk gene expression data

  • Bárbara Andrade Barbosa,
  • Saskia D. van Asten,
  • Ji Won Oh,
  • Arantza Farina-Sarasqueta,
  • Joanne Verheij,
  • Frederike Dijk,
  • Hanneke W. M. van Laarhoven,
  • Bauke Ylstra,
  • Juan J. Garcia Vallejo,
  • Mark A. van de Wiel,
  • Yongsoo Kim

DOI
https://doi.org/10.1038/s41467-021-26328-2
Journal volume & issue
Vol. 12, no. 1
pp. 1 – 13

Abstract

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Deconvolution methods reveal individual cell types in complex tissues profiled by bulk methods. Here the authors present a Bayesian deconvolution method that outperforms existing methods when benchmarked on >700 datasets, especially in estimating cell-type-specific gene expression profiles.