Gene–gene interaction detection with deep learning [PDF]
Communications Biology, 2022 An open-source framework combines deep learning and permutations of gene interaction neural networks to detect complex gene–gene interactions and their significance in contributions to phenotypes.
Tianyu Cui +5 more
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Gene-gene Interaction Analyses for Atrial Fibrillation. [PDF]
Sci Rep, 2016 AbstractAtrial fibrillation (AF) is a heritable disease that affects more than thirty million individuals worldwide. Extensive efforts have been devoted to the study of genetic determinants of AF. The objective of our study is to examine the effect of gene-gene interaction on AF susceptibility.
Lin H +58 more
europepmc +13 more sources
Weak gene–gene interaction facilitates the evolution of gene expression plasticity [PDF]
BMC Biology, 2023 Background Individual organisms may exhibit phenotypic plasticity when they acclimate to different conditions. Such plastic responses may facilitate or constrain the adaptation of their descendant populations to new environments, complicating their ...
Hao-Chih Kuo +6 more
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A systematic analysis of gene–gene interaction in multiple sclerosis [PDF]
BMC Medical Genomics, 2022 Background For the most part, genome-wide association studies (GWAS) have only partially explained the heritability of complex diseases. One of their limitations is to assume independent contributions of individual variants to the phenotype.
Lotfi Slim +3 more
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A trans‐omics assessment of gene–gene interaction in early‐stage NSCLC [PDF]
Molecular Oncology, 2023 Epigenome‐wide gene–gene (G × G) interactions associated with non‐small‐cell lung cancer (NSCLC) survival may provide insights into molecular mechanisms and therapeutic targets.
Jiajin Chen +17 more
doaj +2 more sources
Gene-gene interaction: the curse of dimensionality. [PDF]
Ann Transl Med, 2019 Identified genetic variants from genome wide association studies frequently show only modest effects on the disease risk, leading to the "missing heritability" problem. An avenue, to account for a part of this "missingness" is to evaluate gene-gene interactions (epistasis) thereby elucidating their effect on complex diseases.
Chattopadhyay A, Lu TP.
europepmc +4 more sources
Molecular Basis of Gene-Gene Interaction: Cyclic Cross-Regulation of Gene Expression and Post-GWAS Gene-Gene Interaction Involved in Atrial Fibrillation. [PDF]
PLoS Genetics, 2015 Atrial fibrillation (AF) is the most common cardiac arrhythmia at the clinic. Recent GWAS identified several variants associated with AF, but they account for
Yufeng Huang +49 more
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Gene-gene interaction filtering with ensemble of filters [PDF]
BMC Bioinformatics, 2011 Background Complex diseases are commonly caused by multiple genes and their interactions with each other. Genome-wide association (GWA) studies provide us the opportunity to capture those disease associated genes and gene-gene interactions through panels
Ho Joshua WK +3 more
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GEIRA: gene-environment and gene–gene interaction research application [PDF]
European Journal of Epidemiology, 2011 The GEIRA (Gene-Environment and Gene-Gene Interaction Research Application) algorithm and subsequent program is dedicated to genome-wide gene-environment and gene-gene interaction analysis. It implements concepts of both additive and multiplicative interaction as well as calculations based on dominant, recessive and co-dominant genetic models ...
Ding, Bo +4 more
openaire +5 more sources
Biomedical literature mining: graph kernel-based learning for gene–gene interaction extraction [PDF]
European Journal of Medical ResearchThe supervised machine learning method is often used for biomedical relationship extraction. The disadvantage is that it requires much time and money to manually establish an annotated dataset. Based on distant supervision, the knowledge base is combined
Ai-Ru Hsieh, Chen-Yu Tsai
doaj +2 more sources