Work

Author response: Removing unwanted variation with CytofRUV to integrate multiple CyTOF datasets

Year: 2020

Type: peer-review

Abstract: CytofRUV is a computational algorithm that effectively enables batch effect reduction in multiple CyTOF batches with an adaptable normalisation method and an R-Shiny application with diagnostics plots.

Source: eLife

DOI: 10.7554/elife.59630.sa2

Authors: Marie Trussart, Charis E Teh, Tania Tan, Lawrence Leong, Daniel HD Gray, Terence P Speed

Institutions: The University of Melbourne, Walter and Eliza Hall Institute of Medical Research

Language: English

Topic: Single-cell and spatial transcriptomics

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: gold

Estimated APC paid: $2,500

Funders: Australian National Fabrication Facility, Australian Government, National Health and Medical Research Council

Awards: Bioinformatics for medical “omics”, Targeting Cell Death Pathways in Immune Pathology and Cancer, Understanding the critical mechanisms that govern regulatory T cell life and death decisions

OpenAlex ID: W3095366737

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