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Analysis of Extreme Values

Wilfrid J. Dixon
- 01 Dec 1950 - 
- Vol. 21, Iss: 4, pp 488-506
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This article is published in Annals of Mathematical Statistics.The article was published on 1950-12-01 and is currently open access. It has received 600 citations till now. The article focuses on the topics: Extreme value theory.

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EBSeq: an empirical Bayes hierarchical model for inference in RNA-seq experiments.

TL;DR: EBSeq is developed, using the merits of empirical Bayesian methods, for identifying DE isoforms in an RNA-seq experiment comparing two or more biological conditions and proves to be a robust approach for identifying De genes.
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The power of outliers (and why researchers should ALWAYS check for them)

TL;DR: The goal of this paper is to summarize the various potential causes of extreme scores in a data set, how to detect them, and whether they should be removed or not, and how significantly a small proportion of outliers can affect even simple analyses.
Journal ArticleDOI

Processing Data for Outliers

Wilfrid J. Dixon
- 01 Mar 1953 - 
TL;DR: In this paper, the authors discussed the problem of whether certain observations properly belong in the presentation of measurements obtained by an experimenter and suggested that a consideration of this sort is more properly made at the recording stage or perhaps at the stage of preliminary processing.
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Development and application of the human intestinal tract chip, a phylogenetic microarray: analysis of universally conserved phylotypes in the abundant microbiota of young and elderly adults.

TL;DR: An in silico assessment of the diversity of variable regions of the small subunit ribosomal RNA (SSU rRNA) gene based on an ecosystem-specific curated database and a probe design procedure based on two hypervariable regions with minimal redundancy are presented.