[HTML][HTML] Protein complex prediction: A survey
Protein complexes are one of the most important functional units for deriving biological
processes within the cell. Experimental methods have provided valuable data to infer protein …
processes within the cell. Experimental methods have provided valuable data to infer protein …
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 …
[HTML][HTML] Chapter 5: Network biology approach to complex diseases
DY Cho, YA Kim, TM Przytycka - PLoS computational biology, 2012 - journals.plos.org
Complex diseases are caused by a combination of genetic and environmental factors.
Uncovering the molecular pathways through which genetic factors affect a phenotype is …
Uncovering the molecular pathways through which genetic factors affect a phenotype is …
[HTML][HTML] Computational approaches for detecting protein complexes from protein interaction networks: a survey
Background Most proteins form macromolecular complexes to perform their biological
functions. However, experimentally determined protein complex data, especially of those …
functions. However, experimentally determined protein complex data, especially of those …
A roadmap of clustering algorithms: finding a match for a biomedical application
B Andreopoulos, A An, X Wang… - Briefings in …, 2009 - academic.oup.com
Clustering is ubiquitously applied in bioinformatics with hierarchical clustering and k-means
partitioning being the most popular methods. Numerous improvements of these two …
partitioning being the most popular methods. Numerous improvements of these two …
Survey: Functional module detection from protein-protein interaction networks
J Ji, A Zhang, C Liu, X Quan… - IEEE Transactions on …, 2012 - ieeexplore.ieee.org
A protein-protein interaction (PPI) network is a biomolecule relationship network that plays
an important role in biological activities. Studies of functional modules in a PPI network …
an important role in biological activities. Studies of functional modules in a PPI network …
Semi-supervised local community detection
Owing to the lack of a universal definition of communities, some semi-supervised community
detection approaches learn the concept of community structures from known communities …
detection approaches learn the concept of community structures from known communities …
Community detection in protein-protein interaction networks and applications
I Manipur, M Giordano, M Piccirillo… - IEEE/ACM …, 2021 - ieeexplore.ieee.org
The ability to identify and characterize not only the protein-protein interactions but also their
internal modular organization through network analysis is fundamental for understanding …
internal modular organization through network analysis is fundamental for understanding …
Study on hepatotoxicity of rhubarb based on metabolomics and network pharmacology
S Li, Y Wang, C Li, N Yang, H Yu, W Zhou… - Drug design …, 2021 - Taylor & Francis
Background Rhubarb, as a traditional Chinese medicine, is the preferred drug for the
treatment of stagnation and constipation in clinical practice. It has been reported that …
treatment of stagnation and constipation in clinical practice. It has been reported that …
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 …