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Chrysalis: decoding tissue compartments in spatial transcriptomics with archetypal analysis

Year: 2024

Type: article

Abstract: This repository contains data generated for the following study: Chrysalis: decoding tissue compartments in spatial transcriptomics with archetypal analysisDemeter Túrós, Jelica Vasiljevic, Kerstin Hahn, Sven Rottenberg and Alberto Valdeolivas The ZIP file includes all generated and analyzed datasets, intermediary files, results of cell type deconvolution, marker gene sets, single-cell labels, reference data, and expert annotations. Some of these files are necessary for running the scripts and notebooks available in the Chrysalis GitHub repository.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.8247779

Author: Túrós, Demeter

Institution: University of Bern

Language: English

Topic: Single-cell and spatial transcriptomics

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: green

OpenAlex ID: W6931669075

FWCI: 0.116

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Cited by: 1

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