Work

Mapping the topography of spatial gene expression with interpretable deep learning

Year: 2025

Type: article

Source: Nature Methods

DOI: 10.1038/s41592-024-02503-3

Authors: Uthsav Chitra, Brian J. Arnold, Hirak Sarkar, Kohei Sanno, Cong Ma, Sereno Lopez-Darwin, Benjamin J. Raphael

Institution: Princeton 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, U.S. Department of Health and Human Services, Damon Runyon Cancer Research Foundation, Princeton University, Ludwig Institute for Cancer Research, Siebel Scholars Foundation, National Cancer Institute

Awards: G2108710302, Comprehensive and Robust Tools for Analysis of Tumor Heterogeneity and Evolution, Pathway, Network and Spatiotemporal Integration of Cancer Genomics Data

OpenAlex ID: W4406768732

FWCI: 16.02

Cites: 183

Cited by: 62

Related to: 10