k-core: Theories and applications
YX Kong, GY Shi, RJ Wu, YC Zhang - Physics Reports, 2019 - Elsevier
With the rapid development of science and technology, the world is becoming increasingly
connected. The following dire need for understanding both the relationships amongst …
connected. The following dire need for understanding both the relationships amongst …
[HTML][HTML] AI applications in functional genomics
We review the current applications of artificial intelligence (AI) in functional genomics. The
recent explosion of AI follows the remarkable achievements made possible by “deep …
recent explosion of AI follows the remarkable achievements made possible by “deep …
HiSCF: leveraging higher-order structures for clustering analysis in biological networks
Motivation Clustering analysis in a biological network is to group biological entities into
functional modules, thus providing valuable insight into the understanding of complex …
functional modules, thus providing valuable insight into the understanding of complex …
The core decomposition of networks: Theory, algorithms and applications
The core decomposition of networks has attracted significant attention due to its numerous
applications in real-life problems. Simply stated, the core decomposition of a network …
applications in real-life problems. Simply stated, the core decomposition of a network …
An effective link-based clustering algorithm for detecting overlapping protein complexes in protein-protein interaction networks
Protein complexes are one most important kind of functional modules for biological
processes in cells. In this regard, their detection is vital for understanding the principle of cell …
processes in cells. In this regard, their detection is vital for understanding the principle of cell …
Efficiently detecting protein complexes from protein interaction networks via alternating direction method of multipliers
Protein complexes are crucial in improving our understanding of the mechanisms employed
by proteins. Various computational algorithms have thus been proposed to detect protein …
by proteins. Various computational algorithms have thus been proposed to detect protein …
Computational Approaches to Predict Protein–Protein Interactions in Crowded Cellular Environments
Investigating protein–protein interactions is crucial for understanding cellular biological
processes because proteins often function within molecular complexes rather than in …
processes because proteins often function within molecular complexes rather than in …
A comprehensive review and evaluation of computational methods for identifying protein complexes from protein–protein interaction networks
Z Wu, Q Liao, B Liu - Briefings in bioinformatics, 2020 - academic.oup.com
Protein complexes are the fundamental units for many cellular processes. Identifying protein
complexes accurately is critical for understanding the functions and organizations of cells …
complexes accurately is critical for understanding the functions and organizations of cells …
Decision tree classifier based on topological characteristics of subgraph for the mining of protein complexes from large scale PPI networks
The growing accessibility of large-scale protein interaction data demands extensive
research to understand cell organization and its functioning at the network level …
research to understand cell organization and its functioning at the network level …
Challenges in the construction of knowledge bases for human microbiome-disease associations
The last few years have seen tremendous growth in human microbiome research, with a
particular focus on the links to both mental and physical health and disease. Medical and …
particular focus on the links to both mental and physical health and disease. Medical and …