Fig 4 Result

Name: Fig 4 Result
Creator: Repucci, Jacob
Published: 2023-11-14T00:00:00+08:00

Figshare2023-11-14 更新2026-04-08 收录

单细胞RNA测序

生物可视化

数据链接：

https://figshare.com/articles/dataset/Fig_4_Result/22575295/2 数据链接链接失效反馈

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资源简介：

An h5ad file that contains an AnnData object of preprocessed data for the Figure 4 notebook.

提供机构：

Repucci, Jacob

创建时间：

2023-11-14

C1 single-cell RNA-seq of Adult Human spermatoognia

单细胞RNA测序

精原干细胞

To reveal distinct transcriptomes associated with spermatogonial stem cell renewal vs. initiation of differentiation, single-cell transcriptomes from Adult Human spermatogonia were subdivided into sub

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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

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

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

Fig 4 Result

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