Epi-GTBN: an approach of epistasis mining based on genetic Tabu algorithm and Bayesian network
Y Guo, Z Zhong, C Yang, J Hu, Y Jiang, Z Liang… - BMC …, 2019 - Springer
Background Mining epistatic loci which affects specific phenotypic traits is an important
research issue in the field of biology. Bayesian network (BN) is a graphical model which can …
research issue in the field of biology. Bayesian network (BN) is a graphical model which can …
New algorithm and software (BNOmics) for inferring and visualizing bayesian networks from heterogeneous big biological and genetic data
G Gogoshin, E Boerwinkle, AS Rodin - Journal of Computational …, 2017 - liebertpub.com
Bayesian network (BN) reconstruction is a prototypical systems biology data analysis
approach that has been successfully used to reverse engineer and model networks …
approach that has been successfully used to reverse engineer and model networks …
Collective feature selection to identify crucial epistatic variants
Background Machine learning methods have gained popularity and practicality in identifying
linear and non-linear effects of variants associated with complex disease/traits. Detection of …
linear and non-linear effects of variants associated with complex disease/traits. Detection of …
Methods to analyze big data in pharmacogenomics research
The scale and scope of pharmacogenomics research continues to expand as the cost and
efficiency of molecular data generation techniques advance. These new technologies give …
efficiency of molecular data generation techniques advance. These new technologies give …
Analysis of high-resolution 3D intrachromosomal interactions aided by Bayesian network modeling
X Zhang, S Branciamore, G Gogoshin… - Proceedings of the …, 2017 - National Acad Sciences
Long-range intrachromosomal interactions play an important role in 3D chromosome
structure and function, but our understanding of how various factors contribute to the …
structure and function, but our understanding of how various factors contribute to the …
Identifying large-scale interaction atlases using probabilistic graphs and external knowledge
Introduction: Reconstruction of gene interaction networks from experimental data provides a
deep understanding of the underlying biological mechanisms. The noisy nature of the data …
deep understanding of the underlying biological mechanisms. The noisy nature of the data …
Computational methods dedicated to diabetes identification through epistasis analysis: a review
Diabetes is an acute metabolic disease that raises the amount of blood sugar. Diabetes
increases the mortality rates day by day in the world. The genetic influences, environmental …
increases the mortality rates day by day in the world. The genetic influences, environmental …
Novel EDGE encoding method enhances ability to identify genetic interactions
Assumptions are made about the genetic model of single nucleotide polymorphisms (SNPs)
when choosing a traditional genetic encoding: additive, dominant, and recessive …
when choosing a traditional genetic encoding: additive, dominant, and recessive …
机器学**方法在基因交互作用探测中的研究进展
彭哲也， 唐紫珺， 谢民主 - 遗传, 2018 - chinagene.cn
机器学**方法在基因交互作用探测中的研究进展 Page 1 Hereditas (Bei**g) 2018 年3 月, 40(3):
218―226 www.chinagene.cn 收稿日期: 2017-09-20; 修回日期: 2017-12-28 基金项目: 国家自然 …
218―226 www.chinagene.cn 收稿日期: 2017-09-20; 修回日期: 2017-12-28 基金项目: 国家自然 …
Investigating Computational Methods to Model the Genotypic and Phenotypic Complexity of Adverse Health Outcomes: Understanding Undercover Heritability
SS Verma - 2018 - etda.libraries.psu.edu
Genome-wide association studies (GWAS) are the most popular and widely conducted
experiments to understand the genetic architecture of common diseases. Though GWAS …
experiments to understand the genetic architecture of common diseases. Though GWAS …