KtreeBnIp: An Efficient Epistasis Mining Approach Using K-tree Optimizing Bayesian Network
Author:
Affiliation:
1. Huazhong Agricultural University,Key Laboratory of Smart Farming for Agricultural Animals, Hubei Key Laboratory of Agricultural Bioinformatics, College of Informatics,Wuhan,China
Funder
Fundamental Research Funds for the Central Universities
Huazhong Agricultural University
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10385250/10385251/10385925.pdf?arnumber=10385925
Reference26 articles.
1. Eigen-Epistasis for detecting gene-gene interactions
2. A Two-Stage Penalized Logistic Regression Approach to Case-Control Genome-Wide Association Studies
3. Multifactor-Dimensionality Reduction Reveals High-Order Interactions among Estrogen-Metabolism Genes in Sporadic Breast Cancer
4. IGENT: efficient entropy based algorithm for genome-wide gene-gene interaction analysis
5. Learning genetic epistasis using Bayesian network scoring criteria
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