<p>PHENO-DEX: Phenotypic Mapping of Dexamethasone Response in Breast Cancer Cells using Single-cell Transcriptomics</p>

Jiaqi Li; Benidict Anchang

doi:10.7490/f1000research.1120068.1

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Li J and Anchang B. PHENO-DEX: Phenotypic Mapping of Dexamethasone Response in Breast Cancer Cells using Single-cell Transcriptomics [version 1; not peer reviewed]. F1000Research 2024, 13:1561 (slides) (https://doi.org/10.7490/f1000research.1120068.1)

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PHENO-DEX: Phenotypic Mapping of Dexamethasone Response in Breast Cancer Cells using Single-cell Transcriptomics

Jiaqi Li, Benidict Anchang¹

Published 30 Dec 2024 (https://doi.org/10.7490/f1000research.1120068.1)

Author Affiliations

¹ Biostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina, USA

Copyright © 2024 Li J and Anchang B. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The author(s) is/are employees of the US Government and therefore domestic copyright protection in USA does not apply to this work. The work may be protected under the copyright laws of other jurisdictions when used in those jurisdictions.

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CITE

Published 30 Dec 2024

PHENO-DEX: Phenotypic Mapping of Dexamethasone Response in Breast Cancer Cells using Single-cell Transcriptomics
[version 1; not peer reviewed]

Jiaqi Li, Benidict Anchang¹

Author Affiliations

¹ Biostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina, USA

Presented at

Intelligent Systems for Molecular Biology Conference (ISMB), 2025

Abstract

Competing Interests

No competing interests were disclosed

Keywords

Drug response, Dexamethasone, Cell heterogeneity, AI

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