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Using prior knowledge in the inference of gene association networks

Applied Intelligence, 2020
Traditional computational techniques are recently being improved with the use of prior biological knowledge from open-access repositories in the area of gene expression data analysis. In this work, we propose the use of prior knowledge as heuristic in an inference method of gene-gene associations from gene expression profiles.
Isabel A. Nepomuceno-Chamorro   +4 more
openaire   +2 more sources

Assessing network characteristics of cancer associated genes in metabolic and signaling networks

2012 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), 2012
In the post-genome era, high-throughput experimental methods have elucidated many of the complex interactions in metabolic, regulatory, and signal transduction pathways. Graph theoretic methods have been broadly applied to study properties of these interactions.
Deanna Petrochilos, Neil F. Abernethy
openaire   +2 more sources

Gene networks associated with non-syndromic intellectual disability

Journal of Neurogenetics, 2017
Non-syndromic intellectual disability (NS-ID) is a genetically heterogeneous disorder, with more than 200 candidate genes to date. Despite the increasing number of novel mutations detected, a relatively low number of recurrently mutated genes have been identified, highlighting the complex genetic architecture of the disorder.
Lee, Soohyun   +5 more
openaire   +4 more sources

A network of synaptic genes associated with schizophrenia and bipolar disorder

Schizophrenia Research, 2016
Identification of novel candidate genes for schizophrenia (SZ) and bipolar disorder (BP), two psychiatric disorders with large epidemiological impacts, is a key research area in neurosciences and psychiatric genetics. Previous evidence from genome-wide studies suggests an important role for genes involved in synaptic plasticity in the risk for SZ and ...
Forero, Diego A.   +7 more
openaire   +3 more sources

Reveal genes functionally associated with ACADS by a network study

Gene, 2015
Establishing a systematic network is aimed at finding essential human gene-gene/gene-disease pathway by means of network inter-connecting patterns and functional annotation analysis. In the present study, we have analyzed functional gene interactions of short-chain acyl-coenzyme A dehydrogenase gene (ACADS).
Yulong, Chen, Zhiguang, Su
openaire   +2 more sources

Integrating embeddings of multiple gene networks to prioritize complex disease-associated genes

2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2017
Genome-wide association study (GWAS), as one primary approach for genetic studies, has been successfully applied to a variety of complex diseases, leading to the discovery of substantial disease-associated loci. These discovered associations provide unprecedented opportunities for deepening our understanding of complex diseases, such as disease ...
Mengmeng Wu   +5 more
openaire   +1 more source

Telomere-associated gene network in lung adenocarcinoma

3.1 Molecular Pathology and Functional Genomics, 2015
Telomere biology has been extensively studied in lung adenocarcinomas, but the results so far are controversial and scarce. We aimed at inferring telomere length associated gene regulatory network in lung adenocarcinoma, based on next generation whole genome (WGS) and transcriptome (RNAseq) sequencing data.
Lilit Nersisyan   +2 more
openaire   +1 more source

RECONSTRUCTION OF GENE AND ASSOCIATIVE NETWORKS OF DISEASES TO SEARCH FOR TARGET GENES

Russian Journal of Biological Physics and Chemisrty
Computer reconstruction of gene networks—sets of interacting macromolecules with common functions – is a complex task in bioinformatics. Gene networks, presented as graphical structures, offer a convenient means of visualization and provide qualitatively new insights into the set of studied genes and their biological functions.
V. Turkina   +5 more
openaire   +1 more source

Novel Tuberculosis Susceptibility Candidate Genes Revealed by the Reconstruction and Analysis of Associative Networks

Infection, Genetics and Evolution, 2016
Evgeny Tiys   +2 more
exaly  

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