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.
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::DEVELOPER
:: SCREENSHOTS
N/A
:: REQUIREMENTS
- Linux
- R
:: DOWNLOAD
:: 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.