Work

Data associated with "Cell Marker Accordion: interpretable single-cell and spatial omics annotation in health and disease"

Year: 2025

Type: article

Abstract: Count matrices from MDS patient samples, generated using CellRanger v7.1.0, along with U2AF1 S34F mutation information from VarTrix v1.1.19, are available in the "MDS" folder. Publicly available scRNA-seq and spatial datasets used for benchmarking in this study are provided in the "published_datasets" folder. Supplementary information regarding these datasets can be found in Supplementary Data 4 of the paper.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.15241428

Authors: Tebaldi, Toma, Busarello, Emma, Halene, Stephanie, Biancon, Giulia, VanOudenhove, Jennifer

Institutions: University of Trento, Yale University, Yale Cancer Center, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico

Language: English

Topic: Single-cell and spatial transcriptomics

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: green

OpenAlex ID: W6931197808

FWCI:

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