Assessing the clinical applicability of dimensionality reduction algorithms in flow cytometry for hematologic malignancies

This study shows that DR-based gating streamlines data interpretation and minimizes overlooked populations, demonstrating significant potential as a valuable tool in MFC analysis for hematologic malignancies.

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Publication Details

Journal
Clinical Chemistry and Laboratory Medicine (CCLM)
Published
2025-02-26
DOI
https://doi.org/10.1515/cclm-2025-0017
Citations
5
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
4.03

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article

Assessing the clinical applicability of dimensionality reduction algorithms in flow cytometry for hematologic malignancies

Jong Kwon Lee, Chul Won Jung, Hee Young Ju, Keon Hee Yoo et al.
5 citations
Clinical Chemistry and Laboratory Medicine (CCLM)
Single-cell and spatial transcriptomics
4.03
article

Assessing the clinical applicability of dimensionality reduction algorithms in flow cytometry for hematologic malignancies

Jong Kwon Lee, Chul Won Jung, Hee Young Ju, Keon Hee Yoo, Min‐Seung Park, Boram Kim, Hee‐Jin Kim, Hyun‐Young Kim
article en
5 citations

Abstract

This study shows that DR-based gating streamlines data interpretation and minimizes overlooked populations, demonstrating significant potential as a valuable tool in MFC analysis for hematologic malignancies.

Clinical Chemistry and Laboratory Medicine (CCLM)Vol. 63(7)
Samsung Medical Center (KR), Kangbuk Samsung Hospital (KR), Sungkyunkwan University (KR)
National Research Foundation of Korea
Good health and well-being
Openalex Percentile: Top 7%
Single-cell and spatial transcriptomics
4.03
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