A mini review of node centrality metrics in biological networks
The diversity of nodes in a complex network causes each node to have varying significance,
and the important nodes often have a significant impact on the structure and function of the …
and the important nodes often have a significant impact on the structure and function of the …
Predicting protein–protein interactions from the molecular to the proteome level
Identification of protein–protein interactions (PPIs) is at the center of molecular biology
considering the unquestionable role of proteins in cells. Combinatorial interactions result in …
considering the unquestionable role of proteins in cells. Combinatorial interactions result in …
[HTML][HTML] Information fusion as an integrative cross-cutting enabler to achieve robust, explainable, and trustworthy medical artificial intelligence
Medical artificial intelligence (AI) systems have been remarkably successful, even
outperforming human performance at certain tasks. There is no doubt that AI is important to …
outperforming human performance at certain tasks. There is no doubt that AI is important to …
cytoHubba: identifying hub objects and sub-networks from complex interactome
Background Network is a useful way for presenting many types of biological data including
protein-protein interactions, gene regulations, cellular pathways, and signal transductions …
protein-protein interactions, gene regulations, cellular pathways, and signal transductions …
Network‐based prediction of protein function
Functional annotation of proteins is a fundamental problem in the post‐genomic era. The
recent availability of protein interaction networks for many model species has spurred on the …
recent availability of protein interaction networks for many model species has spurred on the …
[图书][B] Systems biology: a textbook
This advanced textbook is tailored for an introductory course in Systems Biology and is well-
suited for biologists as well as engineers and computer scientists. It comes with student …
suited for biologists as well as engineers and computer scientists. It comes with student …
Protein complex prediction via cost-based clustering
Motivation: Understanding principles of cellular organization and function can be enhanced
if we detect known and predict still undiscovered protein complexes within the cell's protein …
if we detect known and predict still undiscovered protein complexes within the cell's protein …
Complex discovery from weighted PPI networks
Motivation: Protein complexes are important for understanding principles of cellular
organization and function. High-throughput experimental techniques have produced a large …
organization and function. High-throughput experimental techniques have produced a large …
Graph theory and networks in biology
O Mason, M Verwoerd - IET systems biology, 2007 - IET
A survey of the use of graph theoretical techniques in Biology is presented. In particular,
recent work on identifying and modelling the structure of bio-molecular networks is …
recent work on identifying and modelling the structure of bio-molecular networks is …
Graph-based methods for analysing networks in cell biology
T Aittokallio, B Schwikowski - Briefings in bioinformatics, 2006 - academic.oup.com
Availability of large-scale experimental data for cell biology is enabling computational
methods to systematically model the behaviour of cellular networks. This review surveys the …
methods to systematically model the behaviour of cellular networks. This review surveys the …