Work

DeLTA 2.0: A deep learning pipeline for quantifying single-cell spatial and temporal dynamics

Year: 2022

Type: dataset

Abstract: Datasets associated with https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1009797

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.7734367

Authors: O'Connor, Owen M., Alnahhas, Razan N., Lugagne, Jean-Baptiste, Dunlop, Mary J.

Institution: Boston 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

OpenAlex ID: W4393748332

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