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Benchmark of cellular deconvolution methods using a multi-assay reference dataset from postmortem human prefrontal cortex.

Louise A Huuki-MyersKelsey D MontgomerySang Ho KwonSophia CinquemaniNicholas J EaglesDaianna Gonzalez-PadillaSean K MadenJoel E KleinmanThomas M HydeStephanie C HicksKristen R MaynardLeonardo Collado-Torres
Published in: bioRxiv : the preprint server for biology (2024)
were the most accurate methods, were robust to differences in RNA library types and extractions. This multi-assay dataset showed that cell size differences, marker genes differentially quantified across RNA libraries, and cell composition variability in reference snRNA-seq impact the accuracy of current deconvolution methods.
Keyphrases
  • single cell
  • prefrontal cortex
  • high throughput
  • endothelial cells
  • cell therapy
  • rna seq
  • stem cells
  • gene expression
  • bone marrow
  • dna methylation