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Predicting censored survival data based on the interactions between meta-dimensional omics data in breast cancer.

, , , and . J. Biomed. Informatics, (2015)

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Next-Generation Analysis of Cataracts: Determining Knowledge Driven Gene-Gene Interactions Using Biofilter, and Gene-Environment Interactions Using the PhenX Toolkit., , , , , , , , , and 2 other author(s). Pacific Symposium on Biocomputing, page 147-158. World Scientific Publishing, (2013)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 . J. Biomed. Informatics, (2015)Understanding the Evolutionary Process of Grammatical Evolution Neural Networks for Feature Selection in Genetic Epidemiology., , , and . CIBCB, page 1-8. IEEE, (2006)Can Neural Network Constraints in GP Provide Power to Detect Genes Associated with Human Disease?., , , and . EvoWorkshops, volume 3449 of Lecture Notes in Computer Science, page 44-53. Springer, (2005)Collective feature selection to identify crucial epistatic variants., , , , , , , , , and 1 other author(s). BioData Min., 11 (1): 5:1-5:22 (2018)Synthesis-View: visualization and interpretation of SNP association results for multi-cohort, multi-phenotype data and meta-analysis., , , and . BioData Min., (2010)Visually integrating and exploring high throughput Phenome-Wide Association Study (PheWAS) results using PheWAS-View., , , and . BioData Min., (2012)Initialization parameter sweep in ATHENA: optimizing neural networks for detecting gene-gene interactions in the presence of small main effects., , , , , and . GECCO, page 203-210. ACM, (2010)