Events2Join

Transfer data — TransferData • Seurat


Transfer data — TransferData • Seurat - Satija Lab

Arguments · anchorset. An AnchorSet object generated by FindTransferAnchors · refdata. Data to transfer. · reference. Reference object from which to pull data ...

Mapping and annotating query datasets - Satija Lab

In data transfer, Seurat has an option (set by default) to project the PCA structure of a reference onto the query, instead of learning a joint ...

Filtering TransferData results based on prediction scores #6023

satijalab / seurat Public. Notifications You must ... > table([email protected]$prediction.score.max > 0.60) FALSE TRUE 1571 6867.

seurat/man/TransferData.Rd at master - GitHub

Generated by roxygen2: do not edit by hand % Please edit documentation in R/integration.R \name{TransferData} \alias{TransferData} \title{Transfer data} ...

Transfer data - Search R Project

TransferData {Seurat}, R Documentation. Transfer data. Description. Transfer categorical or continuous data across single-cell datasets. For transferring ...

TransferData: Transfer Labels - RDocumentation

Data to transfer. Should be either a vector where the names correspond to reference cells, or a matrix, where the column names correspond to the reference cells ...

Integration and Label Transfer - Satija Lab

Describes the standard Seurat v3 integration workflow, and applies it to integrate multiple datasets collected of human pancreatic islets ( ...

Seurat integration and label transfer questions : r/bioinformatics

... data to inform my own clustering efforts. When I did this using FindTransferAnchors and TransferData, I found that many clusters were lost ...

Multimodal reference mapping - Seurat - Satija Lab

We then transfer cell type labels and protein data from the reference to the query. Additionally, we project the query data onto the UMAP ...

Seurat: Integration and Label Transfer - NGS Analysis - NYU

After finding anchors, we use the TransferData function to classify the query cells based on reference data (a vector of reference cell type ...

seurat_transfer_data: Seurat Transfer Data - rdrr.io

This function allows you to classify cells in the list of datasets using the reference with the Seurat transferData() function.

How PCA projection and cell label transfer work in Seurat - Chatomics

Seurat's TransferData function takes into account the proximity of these non-MNN cells to the anchor cells and extrapolates the labels based on ...

Find transfer anchors — FindTransferAnchors • Seurat - Satija Lab

These anchors can later be used to transfer data from the reference to query object using the TransferData object. FindTransferAnchors( reference, query ...

How do I improve prediction accuracy with Seurat's ... - Reddit

I have very basic knowledge of machine learning and I want to use Seurat's FindTransferAnchors and TransferData to annotate my cells in a ...

Mapping and annotating query datasets • Seurat - Satija Lab

Cell type classification using an integrated reference · In data transfer, Seurat does not correct or modify the query expression data. · In data ...

Performing seurat-style data integration on data analysed using ...

I have done an analysis using scanpy and related sc-verse pipelines of a large number of separate data sets (8).

Comprehensive integration of single-cell data - PMC - PubMed Central

Feature imputation and label transfer are both implemented in the TransferData function in Seurat. Quantification and statistical analysis. Processing of ...

satijalab/seurat: vignettes/seurat5_integration_mapping.Rmd - rdrr.io

After finding anchors, we use the TransferData() function to classify the query cells based on reference data (a vector of reference cell type labels).

scATAC-seq data integration • Signac - Stuart Lab

We will integrate the two datasets together using the shared DNA accessibility assay, using tools available in the Seurat package.

Transfer data from sketch data to full data — TransferSketchLabels

This function transfers cell type labels from a sketched dataset to a full dataset based on the similarities in the lower dimensional space.