Work

TISSUE: uncertainty-calibrated prediction of single-cell spatial transcriptomics improves downstream analyses

Year: 2024

Type: article

Source: Nature Methods

DOI: 10.1038/s41592-024-02184-y

Authors: Eric D. Sun, Rong Ma, Paloma Navarro Negredo, Anne Brunet, James Zou

Institutions: Stanford University, Harvard University

Language: English

Topic: Single-cell and spatial transcriptomics

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: green

Funders: National Science Foundation, National Institutes of Health, National Institute on Aging, National Human Genome Research Institute

Awards: G4903437645, Center for Sub-Cellular Genomics, CAREER: Enabling data valuation and deletion in human-centered machine learning, G6671297155, Stanford Medicine Center for Longevity and Healthy Aging, Molecular Regulation of Stem Cell Aging, T cells in the aging brain

OpenAlex ID: W4391746981

FWCI: 5.309

Cites: 73

Cited by: 39

Related to: 10