Clustering and classification problems in genetics through U-statistics

DOI10.1080/00949655.2017.1374387OpenAlexW2760775332MaRDI QIDQ4960652

Marcio Valk, Sílvia R. C. Lopes, Gabriela B. Cybis

Publication date: 23 April 2020

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1606.03376

zbMATH Keywords

classificationclustering\(U\)-statisticshomogeneity teststatistical significancegenetic datamicroarray gene expression data

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (5)

U-Statistical Inference for Hierarchical Clustering ⋮ Editorial ⋮ A \(U\)-classifier for high-dimensional data under non-normality ⋮ On the variable bandwidth kernel estimation of conditional \(U\)-statistics at optimal rates in sup-norm ⋮ Nonparametric cluster significance testing with reference to a unimodal null distribution

Uses Software

• pvclust
• PhyML
• ElemStatLearn
• SigClust
• polysat
• bootstrap

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Decomposability of high-dimensional diversity measures: quasi-\(U\)-statistics, martingales and nonstandard asymptotics
• The coalescent
• Comparison of genomic sequences using the Hamming distance
• Statistical Significance of Clustering for High-Dimension, Low–Sample Size Data
• Bootstrapping for Significance of Compact Clusters in Multidimensional Datasets
• Power of the likelihood ratio test for models of DNA base substitution
• Analysis of Gene Diversity in Subdivided Populations
• Time‐series clustering via quasi U‐statistics
• A Class of Statistics with Asymptotically Normal Distribution
• The Theory of Unbiased Estimation
• The elements of statistical learning. Data mining, inference, and prediction

This page was built for publication: Clustering and classification problems in genetics through U-statistics