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Machine learning reveals distinct T-cell receptor clusters in plasma cell dyscrasias compared to healthy controls
Journal article   Open access   Peer reviewed

Machine learning reveals distinct T-cell receptor clusters in plasma cell dyscrasias compared to healthy controls

David G Coffey, Yong Zhang, Elizabeth Hill, Frank Cross, Jr, Reena Philip, Marc R Theoret, Ola Landgren, Andrea C Baines and Dickran Kazandjian
PloS one, Vol.20(10), p.e0334053
2025-10-27
PMID: 41144424
Appears in  Miller School of Medicine - Latest Publications

Abstract

Aged Aged, 80 and over Case-Control Studies Female High-Throughput Nucleotide Sequencing Humans Machine Learning Male Middle Aged Monoclonal Gammopathy of Undetermined Significance - genetics Monoclonal Gammopathy of Undetermined Significance - immunology Multiple Myeloma - genetics Multiple Myeloma - immunology Paraproteinemias - genetics Paraproteinemias - immunology Receptors, Antigen, T-Cell - genetics Receptors, Antigen, T-Cell, alpha-beta - genetics
url
https://doi.org/10.1371/journal.pone.0334053View
Published (Version of record) Open

InCites Highlights

These are selected metrics from InCites Benchmarking & Analytics tool, related to this output

Collaboration types
Domestic collaboration
Citation topics
1 Clinical & Life Sciences
1.130 Lymphomas
1.130.617 Multiple Myeloma
Web Of Science research areas
Hematology
ESI research areas
Clinical Medicine

UN Sustainable Development Goals (SDGs)

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#3 Good Health and Well-Being

Source: InCites

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