Multi-view heterogeneous molecular network representation learning for protein–protein interaction prediction
Abstract Background Protein–protein interaction (PPI) plays an important role in regulating cells and signals. Despite the ongoing efforts of the bioassay group, continued incomplete data limits our ability to understand the molecular roots of human disease. Therefore, it is urgent to develop a comp...
Main Authors: | Xiao-Rui Su, Lun Hu, Zhu-Hong You, Peng-Wei Hu, Bo-Wei Zhao |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2022-06-01
|
Series: | BMC Bioinformatics |
Subjects: | |
Online Access: | https://doi.org/10.1186/s12859-022-04766-z |
Similar Items
-
A multi-source molecular network representation model for protein–protein interactions prediction
by: Hai-Tao Zou, et al.
Published: (2024-03-01) -
Protein function annotation based on heterogeneous biological networks
by: Sai Hu, et al.
Published: (2022-11-01) -
Robust and accurate prediction of self-interacting proteins from protein sequence information by exploiting weighted sparse representation based classifier
by: Yang Li, et al.
Published: (2022-12-01) -
Protein-protein interactions : a molecular cloning manual /
by: Golemis, Erica A., et al.
Published: (2005) -
A dynamical view of protein-protein complexes: Studies by molecular dynamics simulations
by: Juliette Martin, et al.
Published: (2022-10-01)