Temporal Protein Complex Identification Based on Dynamic Heterogeneous Protein Information Network Representation Learning
Z Li, Y Zhang, P Zhou - IEEE/ACM Transactions on …, 2024 - ieeexplore.ieee.org
Protein complexes, as the fundamental units of cellular function and regulation, play a
crucial role in understanding the normal physiological functions of cells. Existing methods for …
crucial role in understanding the normal physiological functions of cells. Existing methods for …
Spatiotemporal constrained RNA–protein heterogeneous network for protein complex identification
Z Li, S Wang, H Cui, X Liu, Y Zhang - Briefings in Bioinformatics, 2024 - academic.oup.com
The identification of protein complexes from protein interaction networks is crucial in the
understanding of protein function, cellular processes and disease mechanisms. Existing …
understanding of protein function, cellular processes and disease mechanisms. Existing …
Protein Complex Identification Based on Heterogeneous Protein Information Network
Protein complexes are the foundation of all cellular activities, and accurately identifying them
is crucial for studying cellular systems. The efficient discovery of protein complexes is a …
is crucial for studying cellular systems. The efficient discovery of protein complexes is a …
Heterogeneous PPI network representation learning for protein complex identification
Protein complexes are critical units for studying a cell system. How to accurately identify
protein complexes has always been the focus of research. Most of the existing methods are …
protein complexes has always been the focus of research. Most of the existing methods are …
[HTML][HTML] Multimodal deep representation learning for protein interaction identification and protein family classification
D Zhang, M Kabuka - BMC bioinformatics, 2019 - Springer
Abstract Background Protein-protein interactions (PPIs) engage in dynamic pathological and
biological procedures constantly in our life. Thus, it is crucial to comprehend the PPIs …
biological procedures constantly in our life. Thus, it is crucial to comprehend the PPIs …
Contrastive Self-Supervised Representation Learning for Protein Complexes Identification
P Zhou, Y Zhang, F Chen, M Lu, W Qu… - … on Bioinformatics and …, 2022 - ieeexplore.ieee.org
The identification of protein complexes can help understand cellular organization principles
and the mechanism of biological evolution. In recent years, researchers have proposed …
and the mechanism of biological evolution. In recent years, researchers have proposed …
[HTML][HTML] A multi-network clustering method for detecting protein complexes from multiple heterogeneous networks
Background The accurate identification of protein complexes is important for the
understanding of cellular organization. Up to now, computational methods for protein …
understanding of cellular organization. Up to now, computational methods for protein …
A method for predicting protein complexes from dynamic weighted protein–protein interaction networks
Predicting protein complexes from protein–protein interaction (PPI) network is of great
significance to recognize the structure and function of cells. A protein may interact with …
significance to recognize the structure and function of cells. A protein may interact with …
DPCMNE: detecting protein complexes from protein-protein interaction networks via multi-level network embedding
Biological functions of a cell are typically carried out through protein complexes. The
detection of protein complexes is therefore of great significance for understanding the …
detection of protein complexes is therefore of great significance for understanding the …
A Construction Method for a Dynamic Weighted Protein Network Using Multi-Level Embedding
P Li, S Guo, C Zhang, MM Parvej, J Zhang - Applied Sciences, 2024 - mdpi.com
The rapid development of high-throughput technology has generated a large amount of
protein–protein interaction (PPI) data, which provide a large amount of data support for …
protein–protein interaction (PPI) data, which provide a large amount of data support for …