seurat_obj: seurat_obj

In stemangiola/sccomp: Robust Outlier-aware Estimation of Composition and Heterogeneity for Single-cell Data

seurat_obj

Description

Example Seurat object containing gene expression data for 106,297 cells across a single assay. The object includes RNA counts and data layers, but no variable features are defined. This dataset can be directly used with functions like sccomp_glm for differential abundance analysis.

Usage

data(seurat_obj)

Format

A Seurat object with the following structure:

• assays: Contains gene expression data. The active assay is RNA, with 1 feature and no variable features.

• layers: Two layers: counts and data, representing raw and processed RNA expression values, respectively.

• samples: 106,297 samples (cells) within the RNA assay.

Value

A Seurat object containing single-cell RNA expression data.

stemangiola/sccomp documentation built on Dec. 20, 2024, 8:38 a.m.