Microarray background correction: maximum likelihood estimation for the normal-exponential convolution

DOI10.1093/biostatistics/kxn042zbMath1437.62608OpenAlexW2106840507WikidataQ37111843 ScholiaQ37111843MaRDI QIDQ3304974

Jeremy D. Silver, Matthew E. Ritchie, Gordon K. Smyth

Publication date: 4 August 2020

Published in: Biostatistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1093/biostatistics/kxn042

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (4)

Modeling skewed spatial data using a convolution of Gaussian and log-Gaussian processes ⋮ A comparison of different parameter estimation methods for exponentially modified Gaussian distribution ⋮ Conditional density estimation in measurement error problems ⋮ Mean mixtures of normal distributions: properties, inference and application

Uses Software

• Algorithm 611
• affy

Cites Work

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• Parameter Estimation for the Exponential-Normal Convolution Model for Background Correction of Affymetrix GeneChip Data
• A Simplex Method for Function Minimization
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