[HTML][HTML] Mining disease genes using integrated protein–protein interaction and gene–gene co-regulation information
In humans, despite the rapid increase in disease-associated gene discovery, a large
proportion of disease-associated genes are still unknown. Many network-based approaches …
proportion of disease-associated genes are still unknown. Many network-based approaches …
Condition-specific gene co-expression network mining identifies key pathways and regulators in the brain tissue of Alzheimer's disease patients
Background Gene co-expression network (GCN) mining is a systematic approach to
efficiently identify novel disease pathways, predict novel gene functions and search for …
efficiently identify novel disease pathways, predict novel gene functions and search for …
[PDF][PDF] Logistic regression algorithm to identify candidate disease genes based on reliable protein-protein interaction network
X Lei, W Zhang - Science China. Information Sciences, 2021 - scis.scichina.com
Genetic diseases have seriously threatened human health; however, identifying candidate
disease genes is expected to contribute to understanding complex genetic diseases …
disease genes is expected to contribute to understanding complex genetic diseases …
Analysis for disease gene association using machine learning
To recognize the basis of disease, it is essential to determine its underlying genes.
Understanding the association between underlying genes and genetic disease is a …
Understanding the association between underlying genes and genetic disease is a …
Exploring candidate genes for human brain diseases from a brain-specific gene network
It is believed that large numbers of genes are involved in common human brain diseases.
Here, we propose a novel computational strategy for simultaneously identifying multiple …
Here, we propose a novel computational strategy for simultaneously identifying multiple …
Network-based prediction and knowledge mining of disease genes
MB Carson, H Lu - BMC medical genomics, 2015 - Springer
Background In recent years, high-throughput protein interaction identification methods have
generated a large amount of data. When combined with the results from other in vivo and in …
generated a large amount of data. When combined with the results from other in vivo and in …
Machine learning-based identification of genetic interactions from heterogeneous gene expression profiles
The identification of disease-related genes and disease mechanisms is an important
research goal; many studies have approached this problem by analysing genetic networks …
research goal; many studies have approached this problem by analysing genetic networks …
A new framework for discovering protein complex and disease association via mining multiple databases
L Xue, XQ Tang - Interdisciplinary Sciences: Computational Life …, 2021 - Springer
One important challenge in the post-genomic era is to explore disease mechanisms by
efficiently integrating different types of biological data. In fact, a single disease is usually …
efficiently integrating different types of biological data. In fact, a single disease is usually …
DGHNE: network enhancement-based method in identifying disease-causing genes through a heterogeneous biomedical network
The identification of disease-causing genes is critical for mechanistic understanding of
disease etiology and clinical manipulation in disease prevention and treatment. Yet the …
disease etiology and clinical manipulation in disease prevention and treatment. Yet the …
Network-based association analysis to infer new disease-gene relationships using large-scale protein interactions
A Suratanee, K Plaimas - PLoS One, 2018 - journals.plos.org
Protein-protein interactions integrated with disease-gene associations represent important
information for revealing protein functions under disease conditions to improve the …
information for revealing protein functions under disease conditions to improve the …