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Incorporating prior expert knowledge in learning Bayesian networks from genetic epidemiological data.

, , , and . CIBCB, page 1-5. IEEE, (2014)

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Supervising Random Forest Using Attribute Interaction Networks., , , , , and . EvoBIO, volume 7833 of Lecture Notes in Computer Science, page 104-116. Springer, (2013)Research and applications: Role of genetic heterogeneity and epistasis in bladder cancer susceptibility and outcome: a learning classifier system approach., , , and . JAMIA, 20 (4): 603-612 (2013)Complex systems analysis of bladder cancer susceptibility reveals a role for decarboxylase activity in two genome-wide association studies., , , and . BioData Min., (2016)Detecting gene-gene interactions using a permutation-based random forest method., , , , and . BioData Min., (2016)Enabling Personal Genomics with an Explicit Test of Epistasis., , , , , , , and . Pacific Symposium on Biocomputing, page 327-336. World Scientific Publishing, (2010)Characterizing Genetic Interactions in Human Disease Association Studies Using Statistical Epistasis Networks., , , , , and . BMC Bioinformatics, (2011)Iam hiQ - a novel pair of accuracy indices for imputed genotypes., , , , , , , , , and 31 other author(s). BMC Bioinform., 23 (1): 50 (2022)Estimation of environmental exposure: interpolation, kernel density estimation or snapshotting., , , , , , , and . Annals of GIS, 25 (1): 1-8 (2019)Functional dyadicity and heterophilicity of gene-gene interactions in statistical epistasis networks., , , and . BioData Min., (2015)Using Bayesian networks to discover relations between genes, environment, and disease., , , and . BioData Min., (2013)