On latent idealized models in symbolic datasets: unveiling signals in noisy sequencing data

DOI10.1007/s00285-023-01961-1arXiv2002.05592OpenAlexW4383710672MaRDI QIDQ6116337

Manuel E. Lladser, A. Pearson

Publication date: 18 July 2023

Published in: Journal of Mathematical Biology (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2002.05592

zbMATH Keywords

omicsexchangeabilitycontaminationcategorical dataDNA methylationsymbolic datasequencing errors

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Applications of statistics to biology and medical sciences; meta analysis (62P10) Biochemistry, molecular biology (92C40) Computational methods for problems pertaining to biology (92-08) Mathematical modeling or simulation for problems pertaining to biology (92-10) Research data for problems pertaining to biology (92-11)

Cites Work

• RNA Pol II transcription model and interpretation of GRO-seq data
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• On the inconsistency of bootstrap distribution estimators
• Parsimonious mixtures of multivariate contaminated normal distributions
• Asymptotic Statistics
• Robust Estimation of a Location Parameter
• A Robust Version of the Probability Ratio Test
• On a class of exchangeable sequences
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