CellR 0.1.0 – Single-cell RNA-Seq guided Deconvolution of Cellular Composition from Bulk-tissue RNA-Seq

CellR 0.1.0

:: DESCRIPTION

CellR is a single cell-based data-driven method to recover and quantify the cellular composition of bulk transcriptional data. It is a fully unsupervised approach based on clustering the reference single-cell RNA-Seq (scRNA-seq) followed by extracting the unique marker genes defining each cell cluster.

::DEVELOPER

Wang Genomics Lab

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux
  • R

:: DOWNLOAD

CellR

:: MORE INFORMATION

Citation

Doostparast Torshizi A, Duan J, Wang K.
A computational tool for direct inference of cell-specific expression profiles and cellular composition from bulk-tissue RNA-seq in brain disorders.
bioRxiv, 2020.