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.
Authors
- Dvir Aran (ORCID: https://orcid.org/0000-0001-6334-5039)
- Loai Naom
- Shir Nabet-Levy
- Almog Angel
Institutions
- Technion – Israel Institute of Technology (IL)
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
- Israel Science Foundation