Construction of a deep learning model and identification of BSG, PPARD, and SLC16A8 expression as potential indicators in the context of strategies for precision therapy to acute myeloid leukemia
Objective Acute myeloid leukemia (AML) exhibits significant heterogeneity and aggressiveness. This study aimed to investigate T cell heterogeneity in the AML tumor microenvironment using single-cell RNA sequencing (scRNA-seq) and identify potential biomarkers for prognosis and precision therapy.Meth...
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| 主要な著者: | , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Taylor & Francis Group
2025-12-01
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| シリーズ: | Hematology |
| 主題: | |
| オンライン･アクセス: | https://www.tandfonline.com/doi/10.1080/16078454.2025.2592516 |
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