Machine Learning and Weighted Gene Coexpression Network–Based Identification of Biomarkers Predicting Immune Profiling and Drug Resistance in Lung Adenocarcinoma
Conclusion: This study may provide a theoretical reference for future exploration of potential diagnostic and prognostic biomarkers for LUAD.
Saved in:
| Main Authors: | Tian Zhang, Han Zhou |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2025-01-01
|
| Series: | International Journal of Genomics |
| Online Access: | http://dx.doi.org/10.1155/ijog/9923294 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Identification of biomarkers based on ubiquitin-correlated genes for predicting immune profile and drug sensitivity in lung adenocarcinoma
by: Yue Li, et al.
Published: (2025-08-01) -
Identification of Prognostic Genes in Neuroblastoma in Children by Weighted Gene Coexpression Network Analysis
by: Jun Yang, et al.
Published: (2021-01-01) -
Identification of Biomarkers Based on Starvation Response-Related Genes for Assessing the Immune Profile and Prognosis in Lung Adenocarcinoma
by: Xixian Lou, et al.
Published: (2025-01-01) -
The Identification of Childhood Asthma Progression-Related lncRNAs and mRNAs Suitable as Biomarkers Using Weighted Gene Coexpression Network Analysis
by: Min Hao, et al.
Published: (2021-01-01) -
Identifying Macrophage-Related Genes in Ulcerative Colitis Using Weighted Coexpression Network Analysis and Machine Learning
by: Shaocheng Hong, et al.
Published: (2023-01-01)