Measuring rank robustness in scored protein interaction networks
Background Protein interaction databases often provide confidence scores for each
recorded interaction based on the available experimental evidence. Protein interaction …
recorded interaction based on the available experimental evidence. Protein interaction …
Inferring high-confidence human protein-protein interactions
X Yu, A Wallqvist, J Reifman - BMC bioinformatics, 2012 - Springer
Background As numerous experimental factors drive the acquisition, identification, and
interpretation of protein-protein interactions (PPIs), aggregated assemblies of human PPI …
interpretation of protein-protein interactions (PPIs), aggregated assemblies of human PPI …
Increasing confidence of protein interactomes using network topological metrics
Motivation: Experimental limitations in high-throughput protein–protein interaction detection
methods have resulted in low quality interaction datasets that contained sizable fractions of …
methods have resulted in low quality interaction datasets that contained sizable fractions of …
Construction of reliable protein–protein interaction networks with a new interaction generality measure
R Saito, H Suzuki, Y Hayashizaki - Bioinformatics, 2003 - academic.oup.com
Motivation: Recent screening techniques have made large amounts of protein–protein
interaction data available, from which biologically important information such as the function …
interaction data available, from which biologically important information such as the function …
The use of edge-betweenness clustering to investigate biological function in protein interaction networks
R Dunn, F Dudbridge, CM Sanderson - BMC bioinformatics, 2005 - Springer
Background This paper describes an automated method for finding clusters of
interconnected proteins in protein interaction networks and retrieving protein annotations …
interconnected proteins in protein interaction networks and retrieving protein annotations …
IntScore: a web tool for confidence scoring of biological interactions
Abstract Knowledge of all molecular interactions that potentially take place in the cell is a
key for a detailed understanding of cellular processes. Currently available interaction data …
key for a detailed understanding of cellular processes. Currently available interaction data …
Increasing confidence of protein-protein interactomes
High-throughput experimental methods, such as yeast-two-hybrid and phage display, have
fairly high levels of false positives (and false negatives). Thus the list of protein-protein …
fairly high levels of false positives (and false negatives). Thus the list of protein-protein …
What do we learn from high-throughput protein interaction data?
The biological significance of protein interactions, their method of generation and reliability
is briefly reviewed. Protein interaction networks adopt a scale-free topology that explains …
is briefly reviewed. Protein interaction networks adopt a scale-free topology that explains …
Assessing and predicting protein interactions using both local and global network topological metrics
High-throughput protein interaction data, with ever-increasing volume, are becoming the
foundation of many biological discoveries. However, high-throughput protein interaction …
foundation of many biological discoveries. However, high-throughput protein interaction …
WINNER: A network biology tool for biomolecular characterization and prioritization
Background and contribution In network biology, molecular functions can be characterized
by network-based inference, or “guilt-by-associations.” PageRank-like tools have been …
by network-based inference, or “guilt-by-associations.” PageRank-like tools have been …