The STRING database in 2021: customizable protein–protein networks, and functional characterization of user-uploaded gene/measurement sets
Cellular life depends on a complex web of functional associations between biomolecules.
Among these associations, protein–protein interactions are particularly important due to their …
Among these associations, protein–protein interactions are particularly important due to their …
Computational approaches for prioritizing candidate disease genes based on PPI networks
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 …
number of candidate genes are discovered. How to identify the most likely disease genes …
A network-based integrated framework for predicting virus–prokaryote interactions
Metagenomic sequencing has greatly enhanced the discovery of viral genomic sequences;
however, it remains challenging to identify the host (s) of these new viruses. We developed …
however, it remains challenging to identify the host (s) of these new viruses. We developed …
Genome-wide functional association networks: background, data & state-of-the-art resources
The vast amount of experimental data from recent advances in the field of high-throughput
biology begs for integration into more complex data structures such as genome-wide …
biology begs for integration into more complex data structures such as genome-wide …
[HTML][HTML] The integrated landscape of causal genes and pathways in schizophrenia
C Ma, C Gu, Y Huo, X Li, XJ Luo - Translational psychiatry, 2018 - nature.com
Genome-wide association studies (GWAS) have identified more than 100 loci that show
robust association with schizophrenia risk. However, due to the complexity of linkage …
robust association with schizophrenia risk. However, due to the complexity of linkage …
[HTML][HTML] Constructing a gene semantic similarity network for the inference of disease genes
R Jiang, M Gan, P He - BMC systems biology, 2011 - Springer
Motivation The inference of genes that are truly associated with inherited human diseases
from a set of candidates resulting from genetic linkage studies has been one of the most …
from a set of candidates resulting from genetic linkage studies has been one of the most …
Recent approaches to the prioritization of candidate disease genes
NT Doncheva, T Kacprowski… - … : Systems Biology and …, 2012 - Wiley Online Library
Many efforts are still devoted to the discovery of genes involved with specific phenotypes, in
particular, diseases. High‐throughput techniques are thus applied frequently to detect …
particular, diseases. High‐throughput techniques are thus applied frequently to detect …
[HTML][HTML] Identification of copper-related biomarkers and potential molecule mechanism in diabetic nephropathy
J Ming, SRGL Sana, X Deng - Frontiers in Endocrinology, 2022 - frontiersin.org
Background Diabetic nephropathy (DN) is a chronic microvascular complication in patients
with diabetes mellitus, which is the leading cause of end-stage renal disease. However, the …
with diabetes mellitus, which is the leading cause of end-stage renal disease. However, the …
[HTML][HTML] A fast and high performance multiple data integration algorithm for identifying human disease genes
Background Integrating multiple data sources is indispensable in improving disease gene
identification. It is not only due to the fact that disease genes associated with similar genetic …
identification. It is not only due to the fact that disease genes associated with similar genetic …
[HTML][HTML] Identifying disease genes by integrating multiple data sources
Background Now multiple types of data are available for identifying disease genes. Those
data include gene-disease associations, disease phenotype similarities, protein-protein …
data include gene-disease associations, disease phenotype similarities, protein-protein …