Abis_refseq: A validated of PBMC from healthy donors signature RNA-seq...

In libcell/deconvBench: A tool for approaches evaluation of cell fraction estimation

A validated of PBMC from healthy donors signature RNA-seq matrix by Flow cytometry

Description

Rf: Monaco G, Lee B, Xu W et al. RNA-Seq Signatures Normalized by mRNA Abundance Allow Absolute Deconvolution of Human Immune Cell Types. Cell Rep 2019; 26:1627-1640 e1627.

Usage

Abis_refseq

Format

A data frame with 1296 rows and 17 variables:

Monocytes C

gene expression value range (0-100)

NK

gene expression value range (0-100)

T CD8 Memory

gene expression value range (0-100)

T CD4 Naive

gene expression value range (0-100)

T CD8 Naive

gene expression value range (0-100)

B Naive

gene expression value range (0-100)

T CD4 Memory

gene expression value range (0-100)

MAIT

gene expression value range (0-100)

T gd Vd2

gene expression value range (0-100)

Neutrophils LD

gene expression value range (0-100)

T gd non-Vd2

gene expression value range (0-100)

Basophils LD

gene expression value range (0-100)

Monocytes NC+I

gene expression value range (0-100)

B Memory

gene expression value range (0-100)

mDCs

gene expression value range (0-100)

pDCs

gene expression value range (0-100)

Plasmablasts

gene expression value range (0-100)

Details

A dataset containing the molecular signature profiles of 17 cell types The variables are as follows:

libcell/deconvBench documentation built on Sept. 24, 2022, 12:36 p.m.