15 datasets found

The dataset used in this paper is the Celltype dataset, a collection of single-cell RNA sequencing data.

Single-cell RNA sequencing (scRNAseq) datasets for cell type identification and analysis.

Single-cell RNA sequencing (scRNAseq) datasets for cell type identification and analysis.

Single-cell RNA sequencing (scRNAseq) datasets for cell type identification and analysis.

Single-cell RNA sequencing (scRNAseq) datasets for cell type identification and analysis.

Single-cell RNA sequencing (scRNA-seq) has the potential to provide powerful, high-resolution signatures to inform disease prognosis and precision medicine.

A dataset of peripheral blood samples collected from 4 MS patients and 4 healthy controls.

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.

The dataset used in this paper is a single-cell RNA-seq dataset.

Single-cell RNA sequencing (scRNA-seq) data generated using scRNA-seq Diffusion Transformer (scRDiT)

The dataset contains single-cell RNA sequencing data from cord blood mononuclear cells.

The dataset contains single-cell RNA sequencing data from mouse cortex and hippocampus.

Replogle dataset is a collection of single-cell RNA sequencing data from cancer-related genes.

SERGIO is a technique for simulating single-cell RNA sequencing dynamics using stochastic differential equations.

The dataset used in this paper for dimensionally reducing single cell RNA sequencing data via Fokker-Planck diffusion maps.