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Binning Somatic Mutations Based on Biological Knowledge for Predicting Survival: An Application in Renal Cell Carcinoma., , , , and . Pacific Symposium on Biocomputing, page 96-107. (2015)ATHENA: Identifying interactions between different levels of genomic data associated with cancer clinical outcomes using grammatical evolution neural network., , , and . BioData Min., (2013)Knowledge-driven genomic interactions: an application in ovarian cancer., , , , , and . BioData Min., (2014)Evaluation of Parameter Contribution to Neural Network Size and Fitness in ATHENA for Genetic Analysis., , , and . GPTP, page 211-224. Springer, (2013)Using knowledge-driven genomic interactions for multi-omics data analysis: metadimensional models for predicting clinical outcomes in ovarian carcinoma., , , , , and . JAMIA, 24 (3): 577-587 (2017)Predicting censored survival data based on the interactions between meta-dimensional omics data in breast cancer., , , and . Journal of Biomedical Informatics, (2015)Collective feature selection to identify crucial epistatic variants., , , , , , , , , and 1 other author(s). BioData Min., 11 (1): 5:1-5:22 (2018)A regression framework to uncover pleiotropy in large-scale electronic health record data., , , , , and . JAMIA, 26 (10): 1083-1090 (2019)An integrated analysis of genome-wide DNA methylation and genetic variants underlying etoposide-induced cytotoxicity in European and African populations., , , and . EvoApplications, volume 8602 of Lecture Notes in Computer Science, page 928-938. Springer, (2014)Identification of genetic interaction networks via an evolutionary algorithm evolved Bayesian network., , , , , , , , , and 1 other author(s). BioData Min., (2016)