Multi-context modeling of driver pathways reveals common and specific mechanisms across 23 cancer types.
Discovery of cancer driver pathways is essential for targeted therapies, since these pathways govern tumor progression and treatment resistance. However, their context-specific patterns across populations remain poorly understood. Leveraging pan-cancer genomic data, we apply our two models, EntCDP a...
Saved in:
| Main Authors: | Wenjia Zhou, Junhua Zhang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2025-08-01
|
| Series: | PLoS Computational Biology |
| Online Access: | https://doi.org/10.1371/journal.pcbi.1013349 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Single nucleus RNA sequencing profile analysis to reveal cell type specific common molecular drivers of Parkinson’s disease and therapeutic agents
by: Md. Al Amin Pappu, et al.
Published: (2025-07-01) -
Transcriptome analysis reveals the common and specific pathways of citric acid accumulation in different citrus species
by: Jiaxian He, et al.
Published: (2025-03-01) -
Profiling of insulin-resistant kidney models and human biopsies reveals common and cell-type-specific mechanisms underpinning Diabetic Kidney Disease
by: Abigail C. Lay, et al.
Published: (2024-11-01) -
Assessing evapotranspiration dynamics across central Europe in the context of land–atmosphere drivers
by: A. Fluhrer, et al.
Published: (2025-07-01) -
Dust Intensity Across Vegetation Types in Mongolia: Drivers and Trends
by: Chunling Bao, et al.
Published: (2025-01-01)