-
SNARE-seq dataset
The SNARE-seq dataset is a dataset of single-cell RNA sequencing data. -
Lymphoma dataset
A dataset containing samples from patients with lymphoma. -
20k Mixture of NSCLC DTCs from 7 donors
A dataset containing samples from several patients with lung cancer. -
1k PBMCs from a healthy donor
A dataset containing peripheral blood mononuclear cells (PBMCs) or specialized immune cells. -
GeoTyper: Automated Pipeline from Raw scRNA-Seq Data to Cell Type Identification
A standardized pipeline for processing scRNA-seq data, integrating multiple tools for data wrangling, visualization, cell type identification, and analysis of changes in... -
Putative cell type discovery from single-cell gene expression data
Putative cell type discovery from single-cell gene expression data. -
scX: A user-friendly tool for scRNA-seq exploration
Single-cell RNA sequencing (scRNA-seq) has transformed our ability to explore biological systems. Nevertheless, proficient expertise is essential for handling and interpreting... -
Single-cell RNA sequencing dataset for human primordial germ cells
The dataset used in this paper is a single-cell RNA sequencing dataset for 149 human primordial germ cells ranging from 4 weeks to 19 weeks old. -
Single-cell RNA sequencing dataset for human skeletal muscle myoblasts
The dataset used in this paper is a single-cell RNA sequencing dataset for 372 primary human skeletal muscle myoblasts undergoing differentiation. -
Immune cSCC
Single-cell RNA sequencing (scRNAseq) datasets for cell type identification and analysis. -
COVID PBMC
Single-cell RNA sequencing (scRNAseq) datasets for cell type identification and analysis. -
Immune CSF
Single-cell RNA sequencing (scRNAseq) datasets for cell type identification and analysis. -
CloudPred: Predicting Patient Phenotypes From Single-cell RNA-seq
Single-cell RNA sequencing (scRNA-seq) has the potential to provide powerful, high-resolution signatures to inform disease prognosis and precision medicine. -
Deconvolution of single-cell multi-omics layers reveals regulatory heterogeneity
The dataset used for single-cell RNA sequencing data where cells are modeled as signals on gene interaction graphs or genes are modeled as signals on cell-similarity graphs. -
scRNA-seq Diffusion Transformer (scRDiT)
Single-cell RNA sequencing (scRNA-seq) data generated using scRNA-seq Diffusion Transformer (scRDiT) -
CBMC dataset
The dataset contains single-cell RNA sequencing data from cord blood mononuclear cells.
