Network-based analyses of multiomics data in biomedicine
Abstract Network representations of data are designed to encode relationships between concepts as sets of edges between nodes. Human biology is inherently complex and is represented by data that often exists in a hierarchical nature. One canonical example is the relationship that exists within and b...
Saved in:
| Main Authors: | Rachit Kumar, Joseph D. Romano, Marylyn D. Ritchie |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMC
2025-05-01
|
| Series: | BioData Mining |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s13040-025-00452-x |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Integrated multiomics analysis and machine learning refine molecular subtypes and prognosis for thyroid cancer
by: Peng Zhang, et al.
Published: (2025-06-01) -
Decision level scheme for fusing multiomics and histology slide images using deep neural network for tumor prognosis prediction
by: Tingting Zhao, et al.
Published: (2025-07-01) -
Multiomics integration and machine learning reveal prognostic programmed cell death signatures in gastric cancer
by: Zihao Bai, et al.
Published: (2024-12-01) -
Multiplex Networks and Pan-Cancer Multiomics-Based Driver Gene Identification Using Graph Neural Networks
by: Xingyi Li, et al.
Published: (2024-12-01) -
EmptyDropsMultiome discriminates real cells from background in single-cell multiomics assays
by: Stathis Megas, et al.
Published: (2024-05-01)