ArticleJournal of agricultural, biological, and environmental statistics2010
Neutral Zone Classifiers Using a Decision-Theoretic Approach With Application to DNA Array Analyses.
Article in Journal of agricultural, biological, and environmental statistics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed.
- Improving oligonucleotide fingerprinting of rRNA genes by implementation of polony microarray technology.Journal of microbiological methods · 2012Article
- Improving probe set selection for microbial community analysis by leveraging taxonomic information of training sequences.BMC bioinformatics · 2011Article
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Authors and funding
4 authors.
Funding
Abstract
Two-class neutral zone classifiers were recently proposed for use in microbial community profiling applications. These classifiers allow a region of neutrality for cases where probe hybridization outcomes are too ambiguous to have adequate confidence in assigning a "binding" or "no binding" result. In this paper, we generalize the idea of neutral zone classifiers to an arbitrary number of classes and apply it to improve the process of microbial community profiling by considering a third class for the outcome of probe hybridization experiments, "partial binding." We introduce a family of class distributions that uses a mixture of Gaussian distributions as a model for a Box-Cox power transformation of the raw intensity measurements. Stratified cross-validation analyses are used to assess the efficacy of the proposed three-class neutral zone classifier. This article has supplementary material online.
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Registered trials
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