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integrating single|cell datasets


Integration and transfer learning of single-cell transcriptomes via cFIT

Large, comprehensive collections of single-cell RNA sequencing (scRNA-seq) datasets have been generated that allow for the full transcriptional ...

Comprehensive Integration of Multiple Single-Cell Transcriptomic ...

Namely, the FindIntegrationAnchors and IntegrateData functions were used to identify single-cell pairs across the data sets that can be used as ...

integrate single cell RNA sequencing data - Biostars

Harmony is one of those approaches that has been shown to be effective in batch effect removal. In practice, merge the raw Seurat objects for ...

Integrating Single Cell and Visium Spatial Gene Expression Data

Background. Problem: Single Cell RNAseq methods resolve gene expression at the single cell level, but lose the spatial context of the cells. Visium spatial gene ...

Spatial datasets integration - scvi-tools - scverse Discourse

Hi, I am using cell2location to deconvolution my single cell datasets. Now I ha…

CZ CELLxGENE Discover - Cellular Visualization Tool

Chan Zuckerberg CELLxGENE Discover is a tool to find, download, and visually explore curated and standardized single-cell biology datasets.

Principled and interpretable alignability testing and integration of ...

Aligning and integrating different datasets is a key challenge in single-cell research. However, existing methods suffer from several fundamental and under ...

Single Cell Data Integration: Integrating Datasets Using Harmony

Comments8 · Single Cell Data Integration: Integrating Datasets Using FastMNN and Liger Packages · Find markers and cluster identification in ...

Benchmarking atlas-level data integration in single-cell genomics

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

IMGG: Integrating Multiple Single-Cell Datasets through Connected ...

We present a novel framework, called IMGG, ie, integrating multiple single-cell datasets through connected graphs and generative adversarial networks (GAN)

SingleR analysis with integrated data

I have a 10x single-cell dataset with 6 replicates each containing cells from the same 5 donors. For the sake of simplicity, let's assume I…

Integrate single-cell RNA-Seq data in R using Harmony - YouTube

A detailed walk-through of steps to integrate single-cell RNA sequencing data by condition in R using Harmony in #Seurat workflow.

Integrating Datasets Using FastMNN and Liger Packages - YouTube

Single Cell Data Integration: Integrating Datasets Using FastMNN and Liger Packages · Comments2.

GTEx Portal

We are working on integrating V10 into the remaining visualizations. See ... Learn more about available single cell data. Multi-Gene Single Cell Query ...

Storm: Incorporating transient stochastic dynamics to infer the RNA ...

The derivation reveals that the new mRNA sequencing data obeys different types of cell-specific Poisson distributions when jointly considering both biological ...

Reactome Pathway Database: Home

... data analysis. Reactome Research Spotlight ... integration tool based on single-sample pathway analysis and machine learning, to translate multi-omics datasets ...

Video 17: Integrate Datasets Between Control and Disease Samples

Seurat Video Tutorials--Video 18: Seurat Plot Functions · Seurat V5 Video Tutorial 4 : Data Integration in Seurat v5 · Integrate single-cell RNA- ...

Registry of Open Data on AWS

Datasets are provided and maintained by a variety of third parties under a variety of licenses. Please check dataset licenses and related documentation to ...

About datasets in Meta Events Manager | Meta Business Help Center

Website, app, offline and messaging events will be merged together into a single view. ... Each integration has an ID to help you tell them apart, and we ...