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Disambiguation of "Ritchie, Marylyn D."

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Extending Tree-Based Automated Machine Learning to Biomedical Image and Text Data Using Custom Feature Extractors.

, , , and . GECCO Companion, page 599-602. ACM, (2023)

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James Ritchie

Brian Ritchie

Ritchie Brown

Anna Ritchie

Julian Ritchie

 

Other publications of authors with the same name

Comparison of Neural Network Optimization Approaches for Studies of Human Genetics., , , and . EvoWorkshops, volume 3907 of Lecture Notes in Computer Science, page 103-114. Springer, (2006)Incorporating Domain Knowledge into Evolutionary Computing for Discovering Gene-Gene Interaction., , and . PPSN (1), volume 6238 of Lecture Notes in Computer Science, page 394-403. Springer, (2010)The effects of linkage disequilibrium in large scale SNP datasets for MDR., , and . BioData Min., (2011)ATHENA: A Tool for Meta-Dimensional Analysis Applied to Genotypes and Gene Expression Data to Predict HDL Cholesterol Levels., , , , , and . Pacific Symposium on Biocomputing, page 385-396. World Scientific Publishing, (2013)Identifying Genetic Associations with Variability in Metabolic Health and Blood Count Laboratory Values: Diving into the Quantitative Traits by Leveraging Longitudinal Data from an EHR., , , , , , , , , and 5 other author(s). PSB, page 533-544. (2017)Influence of tissue context on gene prioritization for predicted transcriptome-wide association studies., , , , , , , and . PSB, page 296-307. (2019)Association Rule Discovery Has the Ability to Model Complex Genetic Effects., , and . CIDM, page 624-629. IEEE, (2007)Methods of integrating data to uncover genotype--phenotype interactions, , , , and . Nature Reviews Genetics, 16 (2): 85--97 (2015)Replication of SCN5A Associations with Electrocardiographic Traits in African Americans from Clinical and Epidemiologic Studies., , , , , , , , , and 11 other author(s). EvoApplications, volume 8602 of Lecture Notes in Computer Science, page 939-951. Springer, (2014)Detecting potential pleiotropy across cardiovascular and neurological diseases using univariate, bivariate, and multivariate methods on 43, 870 individuals from the eMERGE network., , , , , , , , , and 14 other author(s). PSB, page 272-283. (2019)