ArticleBriefings in bioinformatics2015
Letter to the Editor: On the term 'interaction' and related phrases in the literature on Random Forests.
Article in Briefings in bioinformatics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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20 citing papers in PubMed.
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- Humans and Hoofed Livestock Are the Main Sources of Fecal Contamination of Rivers Used for Crop Irrigation: A Microbial Source Tracking Approach.Frontiers in microbiology · 2022Article
- Overview of Metabolomic Analysis and the Integration with Multi-Omics for Economic Traits in Cattle.Metabolites · 2021Review
- Predictive Factors of Recovery after an Acute Lateral Ankle Sprain: A Longitudinal Study.Sports (Basel, Switzerland) · 2021Article
- Complex Interactions Between Weather, and Microbial and Physicochemical Water Quality Impact the Likelihood of Detecting Foodborne Pathogens in Agricultural Water.Frontiers in microbiology · 2020Article
- Differences in the miRNA signatures of chronic musculoskeletal pain patients from neuropathic or nociceptive origins.PloS one · 2019Article
- The search for gene-gene interactions in genome-wide association studies: challenges in abundance of methods, practical considerations, and biological interpretation.Annals of translational medicine · 2018Article
- IntLIM: integration using linear models of metabolomics and gene expression data.BMC bioinformatics · 2018Article
- Intervention in prediction measure: a new approach to assessing variable importance for random forests.BMC bioinformatics · 2017Article
- Classification Tree Analysis as a Method for Uncovering Relations Between CHRNA5A3B4 and CHRNB3A6 in Predicting Smoking Progression in Adolescent Smokers.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2017Article
- A Clinical Decision Tree to Predict Whether a Bacteremic Patient Is Infected With an Extended-Spectrum β-Lactamase-Producing Organism.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2016Article
- Do little interactions get lost in dark random forests?BMC bioinformatics · 2016Article
- Smoking Gun or Circumstantial Evidence? Comparison of Statistical Learning Methods using Functional Annotations for Prioritizing Risk Variants.Scientific reports · 2015Article
- Publication Bias in Methodological Computational Research.Cancer informatics · 2015Article
Corrections and comments
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5 authors.
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Abstract
In an interesting and quite exhaustive review on Random Forests (RF) methodology in bioinformatics Touw et al. address--among other topics--the problem of the detection of interactions between variables based on RF methodology. We feel that some important statistical concepts, such as 'interaction', 'conditional dependence' or 'correlation', are sometimes employed inconsistently in the bioinformatics literature in general and in the literature on RF in particular. In this letter to the Editor, we aim to clarify some of the central statistical concepts and point out some confusing interpretations concerning RF given by Touw et al. and other authors.
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