Uncovering latent biological function associations through gene set embeddings
Abstract Background The complexity of biological systems has increasingly been unraveled through computational methods, with biological network analysis now focusing on the construction and exploration of well-defined interaction networks. Traditional graph-theoretical approaches have been instrumen...
Saved in:
| Main Authors: | Yuhang Huang, Fan Zhong, Lei Liu |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMC
2025-03-01
|
| Series: | BMC Bioinformatics |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12859-025-06100-9 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Human disease locus discovery and mapping to molecular pathways through phylogenetic profiling
by: Yuval Tabach, et al.
Published: (2013-10-01) -
A Semi-Supervised Deep Network Embedding Approach Based on the Neighborhood Structure
by: Wenmao Wu, et al.
Published: (2019-09-01) -
Nootkatone Alleviates Type 2 Diabetes in db/db Mice Through AMPK Activation and ERK Inhibition: An Integrated In Vitro and In Vivo Study
by: Yingjie Li, et al.
Published: (2025-05-01) -
Sentiment Analysis on Roman Urdu Students’ Feedback Using Enhanced Word Embedding Technique
by: Noureen, et al.
Published: (2024-02-01) -
Survey of virtual network embedding problem
by: CHENG Xiang, et al.
Published: (2011-01-01)