Figure 3

NIAID Data Ecosystem2026-05-01 收录

单细胞RNA测序

表面蛋白检测

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https://zenodo.org/records/8187924 数据链接链接失效反馈

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Filtered seurat object with metadata and analysis for Figure 3. Please see metadata clustering resolution of 1.0 for clusters in figure. Please use ADT_denoised_iso_quant for adt (protein) normalized data.

创建时间：

2023-08-05

sce_filteredExpr10_SimKumar8hard.rds

单细胞RNA测序

群体分析

Simulated scRNA-seq data with 8 highly overlapping cell populations.

DataCite Commons2020-08-28 更新40

Designing a single cell RNA sequencing benchmark dataset to compare protocols and analysis methods (Drop-Seq)

单细胞RNA测序

单细胞RNA测序协议比较

Single cell RNA sequencing (scRNA-seq) technology has undergone rapid development in recent years and brings new challenges in data processing and analysis. This has led to an explosion of tailored an

NIAID Data Ecosystem20

Single-cell RNA-sequencing of human intestinal organoid cells

肠道M细胞分化

单细胞RNA测序

We focused on a rare cell population of human intestine, the M cells. Using human intestinal organoid as a model, the M cells could be differentiated, FACS-sorted from organoids and analyzed by scRNA-

NIAID Data Ecosystem00

Single cell RNA-seq data of human hESCs comparing experiments with cDNA library equalization

单细胞RNA测序

人类胚胎干细胞基因研究

Considerable effort has been devoted to refining experimental protocols having reduced levels of technical variability and artifacts in single-cell RNA-sequencing data (scRNA-seq). We here present evi

NIAID Data Ecosystem40

DataSheet1_ProgClust: A progressive clustering method to identify cell populations.zip

单细胞RNA测序

细胞亚群识别

Identifying different types of cells in scRNA-seq data is a critical task in single-cell data analysis. In this paper, we propose a method called ProgClust for the decomposition of cell populations an

NIAID Data Ecosystem00

Figure 3

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