Most irreversible blindness results from retinal disease. To advance our understanding of the etiology of blinding diseases, we used single-cell RNA-sequencing (scRNA-seq) to analyze the transcriptome

NIAID Data Ecosystem30

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

single-cell RNA sequencing count matrix

单细胞RNA测序

基因表达计数矩阵

These are count matrix data from all the four experiments. Experiment ID and cell population names are indicated in the file names. To read the count matrix data, please follow the instruction: https:

NIAID Data Ecosystem40

scRNA-seq analysis of hepatocellular carcinoma with microvascular invasion.

肝细胞癌微血管侵犯

单细胞RNA测序

Microvascular invasion (MVI) is a significant pathological feature of hepatocellular carcinoma (HCC) associated with poor outcomes, early recurrence and intrahepatic metastasis in post-surgical resect

Mendeley Data10

RNA-Seq of FACS sorted Enteric Glia cells from the LMMP after T-cell activation via CD3

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