Machine learning and single-cell analysis uncover distinctive characteristics of CD300LG within the TNBC immune microenvironment: experimental validation.
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| Title: | Machine learning and single-cell analysis uncover distinctive characteristics of CD300LG within the TNBC immune microenvironment: experimental validation. |
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| Authors: | Zhu B; Department of General Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.; Department of Breast Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.; Department of Thyroid and Breast Surgery, Anhui No.2 Provincial People's Hospital, Hefei, Anhui, China., Wan H; Department of General Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.; Department of Breast Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China., Ling Z; Department of General Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.; Department of Breast Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China., Jiang H; Department of General Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.; Department of Breast Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China., Pei J; Department of General Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China. peijing@ahmu.edu.cn.; Department of Breast Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China. peijing@ahmu.edu.cn. |
| Source: | Clinical and experimental medicine [Clin Exp Med] 2025 May 17; Vol. 25 (1), pp. 167. Date of Electronic Publication: 2025 May 17. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Springer-Verlag Italia Country of Publication: Italy NLM ID: 100973405 Publication Model: Electronic Cited Medium: Internet ISSN: 1591-9528 (Electronic) Linking ISSN: 15918890 NLM ISO Abbreviation: Clin Exp Med Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1591-9528 |
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| DOI: | 10.1007/s10238-025-01690-3 |
