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Abstract PO-064: Predicting molecular phenotypes with scRNAseq: An assessment of unsupervised machine learning methods

Year: 2021

Type: conference-abstract

Source: Clinical Cancer Research

DOI: 10.1158/1557-3265.radsci21-po-064

Authors: Anastasia Dunca, Frederick R. Adler, Mark W. Smithson

Institution: University of Utah

Language: English

Topic: Single-cell and spatial transcriptomics

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W3152710020

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