teaseq_unfilt.h5mu

Name: teaseq_unfilt.h5mu
Creator: Garcia, Giulia
Published: 2024-02-22T00:00:00+08:00

Figshare2024-02-22 更新2026-04-08 收录

单细胞多组学数据整合

数据链接：

https://figshare.com/articles/dataset/teaseq_unfilt_h5mu/25266406/1 数据链接链接失效反馈

官方服务：

资源简介：

Output of the panpipes multimodal ingestion tutorial for rna, prot and atac.

针对核糖核酸（RNA）、蛋白质（Protein）及转座酶可及性染色质测序（ATAC）的panpipes多模态数据摄入教程的输出结果

提供机构：

Garcia, Giulia

创建时间：

2024-02-22

Data to publication "The performance of deep generative models for learning joint embeddings of single-cell multi-omics data"

单细胞多组学数据整合

深度生成模型

Joint embedding data to publication "The performance of deep generative models for learning joint embeddings of single-cell multi-omics data" Code available at https://github.com/MTreppner/multiomic

NIAID Data Ecosystem50

Identification of genomic enhancers through spatial integration of single-cell transcriptomics and epigenomics [FluidigmC1_scATACseq]. Identification of genomic enhancers through spatial integration of single-cell transcriptomics and epigenomics [FluidigmC1_scATACseq]

单细胞多组学数据整合

增强子识别

Enhancers act as docking stations in the genome to which transcription factors bind, tightly regulating gene expression. Although single-cell technologies allow measuring chromatin accessibility or ge

NIAID Data Ecosystem30

teaseq_corrected.h5mu

单细胞多组学

多模态数据可视化

The input of the panpipes multimodal visualization tutorial for rna, prot and atac.

Figshare2024-03-01 更新20

Augment Single-cell RNA-seq data with Surface Protein Levels using Gene set-based Deep Learning and Transfer Learning Methods

单细胞多组学数据整合

基因表达-蛋白表达预测

Necessary data, scripts and saved models for "Augment Single-cell RNA-seq data with Surface Protein Levels using Gene set-based Deep Learning and Transfer Learning Methods" manuscript.

Zenodo2023-12-31 更新30

Benchmarking atlas-level data integration in single-cell genomics - integration task datasets

单细胞多组学数据整合

跨物种跨组织整合基准

Pancreas, Lung atlas, human immune cell, and human and mouse immune cell integration RNA integration tasks, and all ATAC mouse brain integration tasks from the manuscript "Benchmarking atlas-level dat

Figshare2020-06-04 更新20

teaseq_unfilt.h5mu

资源简介：

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