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

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

Clinical characteristics of the three subjects whose kidney biopsies were used for scRNA-seq.

内脏疾病研究

单细胞RNA测序

Clinical characteristics of the three subjects whose kidney biopsies were used for scRNA-seq.

Figshare2022-06-03 更新10