Integration of transcriptomics and machine learning for insights into breast cancer: exploring lipid metabolism and immune interactions
By employing bioinformatics and diverse machine learning algorithms, we successfully identified genes associated with lipid metabolism in BRCA and uncovered potential therapeutic agents, thereby offering novel insights into the mechanisms and treatment strategies for BRCA.
Authors
- Meisi Yan
- Jinfeng Yi (ORCID: https://orcid.org/0000-0003-2149-0670)
- Baogang Liu
- Tong Liu (ORCID: https://orcid.org/0000-0002-1389-7051)
- Xiaohan Chen (ORCID: https://orcid.org/0000-0001-5326-7743)
- Lili Xie
Institutions
- Harbin Medical University (CN)
- Third Affiliated Hospital of Harbin Medical University (CN)
- First Affiliated Hospital of Harbin Medical University (CN)
Publication Details
- Journal
- Frontiers in Immunology
- Published
- 2024-10-25
- DOI
- https://doi.org/10.3389/fimmu.2024.1470167
- Citations
- 3
- Primary Topic
- Cancer, Lipids, and Metabolism
- Type
- article
- Field-Weighted Citation Impact
- 0.86