Seg_counts: Single-cell RNA-seq example dataset: Seg data

In haoharryfeng/NeuCA: NEUral network-based single-Cell Annotation tool

Description

Seg_counts is a matrix of scRNA-seq data. Each row represents one gene. Each column represents one cell. Seg_true_cell_label is a vector of the same length as the columns of the matrix, containing the true cell labels for each cell in the same order.

Usage

data(Seg_scRNA)

Format

Seg_counts is a matrix of gene expression values. Seg_true_cell_label is a vector of true cell labels for each cell.

Examples

data(Seg_scRNA)
dim(Seg_counts)
Seg_counts[1:5,1:5]
length(Seg_true_cell_label)
head(Seg_true_cell_label)

haoharryfeng/NeuCA documentation built on Dec. 20, 2021, 2:48 p.m.