Single-Cell Sequence and Machine Learning Identify a CD79A+B Cells-Related Transcriptional Signature for Predicting Clinical Outcomes and Immune Microenvironment in Breast Cancer
Objective: The aim of this study was to investigate the role and mechanism of CD79A + B cells in mediating the microenvironment of breast cancer and the relationship with the prognosis of breast cancer. Methods: Single-cell RNA sequencing and bulk RNA sequencing analysis were combined to annotate br...
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| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2025-07-01
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| Series: | Cancer Informatics |
| Online Access: | https://doi.org/10.1177/11769351251360675 |
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