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

Additional file 6 of Identification of cell subpopulations associated with disease phenotypes from scRNA-seq data using PACSI

单细胞RNA测序

疾病表型

Additional file 6. Table with differential expression genes in PACSI-identified spots associated with poor survival versus all other spots. Table with the Reactome pathways enrichment of upregulated g

DataCite Commons2024-02-09 更新70

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

bf328fde-5215-4a19-83b7-dac76130d1f7 - samples

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