[HTML][HTML] Integrating multiple protein-protein interaction networks to prioritize disease genes: a Bayesian regression approach

W Zhang, F Sun, R Jiang - BMC bioinformatics, 2011 - Springer
Background The identification of genes responsible for human inherited diseases is one of
the most challenging tasks in human genetics. Recent studies based on phenotype similarity …

Uncover disease genes by maximizing information flow in the phenome–interactome network

Y Chen, T Jiang, R Jiang - Bioinformatics, 2011 - academic.oup.com
Motivation: Pinpointing genes that underlie human inherited diseases among candidate
genes in susceptibility genetic regions is the primary step towards the understanding of …

Role of centrality in network-based prioritization of disease genes

S Erten, M Koyutürk - … Computation, Machine Learning and Data Mining in …, 2010 - Springer
High-throughput molecular interaction data have been used effectively to prioritize
candidate genes that are linked to a disease, based on the notion that the products of genes …

[HTML][HTML] Prioritization of potential candidate disease genes by topological similarity of protein–protein interaction network and phenotype data

J Luo, S Liang - Journal of biomedical informatics, 2015 - Elsevier
Identifying candidate disease genes is important to improve medical care. However, this task
is challenging in the post-genomic era. Several computational approaches have been …

[HTML][HTML] Prioritization of candidate disease genes by topological similarity between disease and protein diffusion profiles

J Zhu, Y Qin, T Liu, J Wang, X Zheng - BMC bioinformatics, 2013 - Springer
Background Identification of gene-phenotype relationships is a fundamental challenge in
human health clinic. Based on the observation that genes causing the same or similar …

GUILDify: a web server for phenotypic characterization of genes through biological data integration and network-based prioritization algorithms

E Guney, J Garcia-Garcia, B Oliva - Bioinformatics, 2014 - academic.oup.com
Determining genetic factors underlying various phenotypes is hindered by the involvement
of multiple genes acting cooperatively. Over the past years, disease–gene prioritization has …

Computational approaches for prioritizing candidate disease genes based on PPI networks

W Lan, J Wang, M Li, W Peng… - Tsinghua Science and …, 2015 - ieeexplore.ieee.org
With the continuing development and improvement of genome-wide techniques, a great
number of candidate genes are discovered. How to identify the most likely disease genes …

[HTML][HTML] DA DA: Degree-Aware Algorithms for Network-Based Disease Gene Prioritization

S Erten, G Bebek, RM Ewing, M Koyutürk - BioData mining, 2011 - Springer
Background High-throughput molecular interaction data have been used effectively to
prioritize candidate genes that are linked to a disease, based on the observation that the …

Vavien: An Algorithm for Prioritizing Candidate Disease Genes Based on Topological Similarity of Proteins in Interaction Networks

S Erten, G Bebek, M Koyutürk - Journal of computational biology, 2011 - liebertpub.com
Genome-wide linkage and association studies have demonstrated promise in identifying
genetic factors that influence health and disease. An important challenge is to narrow down …

[HTML][HTML] Prioritization of candidate disease genes by combining topological similarity and semantic similarity

B Liu, M Jin, P Zeng - Journal of biomedical informatics, 2015 - Elsevier
The identification of gene–phenotype relationships is very important for the treatment of
human diseases. Studies have shown that genes causing the same or similar phenotypes …