Work

Alignment and integration of spatial transcriptomics data

Year: 2022

Type: article

Source: Nature Methods

DOI: 10.1038/s41592-022-01459-6

Authors: Ron Zeira, Max Land, Alexander Strzalkowski, 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: U.S. Department of Health and Human Services, National Human Genome Research Institute, National Cancer Institute

Awards: Pathway and Network Integration of Cancer Genomics and Clinical Data, G2108710302, G2248624776, Comprehensive and Robust Tools for Analysis of Tumor Heterogeneity and Evolution, Quantitative and Computational Biology Graduate Program

OpenAlex ID: W4280494993

FWCI: 16.62

Cites: 69

Cited by: 288

Related to: 10