Finding quantitative trait loci genes with collaborative targeted maximum likelihood learning

DOI10.1016/j.spl.2010.11.001zbMath1218.62121OpenAlexW1984244634WikidataQ34960250 ScholiaQ34960250MaRDI QIDQ544627

Sherri Rose, Hui Wang, Mark J. Van der Laan

Publication date: 15 June 2011

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc3090625

zbMATH Keywords

machine learningcollaborative targeted maximum likelihood estimationsuper learner

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05) Learning and adaptive systems in artificial intelligence (68T05) Genetics and epigenetics (92D10)

Related Items (8)

Efficient estimation of quantiles in missing data models ⋮ Marginal integration for nonparametric causal inference ⋮ Estimation of a non-parametric variable importance measure of a continuous exposure ⋮ A nonparametric super-efficient estimator of the average treatment effect ⋮ Evaluating the impact of a HIV low-risk express care task-shifting program: a case study of the targeted learning roadmap ⋮ Mark-specific hazard ratio model with missing multivariate marks ⋮ Classification in postural style ⋮ Exact model comparisons in the plausibility framework

Uses Software

• SuperLearner

Cites Work

• A Unified Semiparametric Framework for Quantitative Trait Loci Analyses, With Application to Spike Phenotypes
• Super Learner
• Deletion/Substitution/Addition Algorithm in Learning with Applications in Genomics
• Discussion of: Treelets -- an adaptive multi-scale basis for sparse unordered data

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