SHEIB-AGM: A Novel Stochastic Approach for Detecting High-Order Epistatic Interactions Using Bioinformation With Automatic Gene Matrix in Genome-Wide Association Studies.
Liyan SunGuixia LiuRongquan WangPublished in: IEEE Access (2020)
Keyphrases
- high order
- gene gene interactions
- higher order
- complex diseases
- lower order
- low order
- decision trees
- genome wide
- belief revision
- pairwise
- genome wide association studies
- tensor decomposition
- gene expression data
- protein interaction
- gene expression
- markov random field
- databases
- linkage disequilibrium
- bayesian logistic regression