xCell 2.0: robust algorithm for cell type proportion estimation predicts response to immune checkpoint blockade

xCell 2.0 is a versatile and robust tool for cell type deconvolution that maintains high performance across various reference types and biological contexts. It is available both via a locally hosted web application and as a Bioconductor-compatible package, equipped with a large collection of pre-trained cell type signatures for human and mouse research.

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Publication Details

Journal
Genome biology
Published
2025-10-03
DOI
https://doi.org/10.1186/s13059-025-03784-3
Citations
3
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
2.42

Funders

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article

xCell 2.0: robust algorithm for cell type proportion estimation predicts response to immune checkpoint blockade

Dvir Aran, Loai Naom, Shir Nabet-Levy, Almog Angel
3 citations
Genome biology
Single-cell and spatial transcriptomics
2.42
article

xCell 2.0: robust algorithm for cell type proportion estimation predicts response to immune checkpoint blockade

Dvir Aran, Loai Naom, Shir Nabet-Levy, Almog Angel
article en
3 citations

Abstract

xCell 2.0 is a versatile and robust tool for cell type deconvolution that maintains high performance across various reference types and biological contexts. It is available both via a locally hosted web application and as a Bioconductor-compatible package, equipped with a large collection of pre-trained cell type signatures for human and mouse research.

Genome biologyVol. 26(1)
Technion – Israel Institute of Technology (IL)
Israel Science Foundation
Openalex Percentile: Top 10%
Single-cell and spatial transcriptomics
2.42
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