Factor Analysis with Mixture Modeling to Evaluate Coherent Patterns in Microarray Data

DOI10.1007/978-3-319-12454-4_15zbMath1364.62265OpenAlexW242362706MaRDI QIDQ5266584

Joao Daniel Nunes Duarte, Vinícius Diniz Mayrink

Publication date: 16 June 2017

Published in: Springer Proceedings in Mathematics & Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-319-12454-4_15

zbMATH Keywords

microarray dataMarkov chain Monte Carlo (MCMC) methodcoherent patternsfactor analysis with mixture modelinggene detection methodssparse latent factor model (SLFM)

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Applications of statistics to biology and medical sciences; meta analysis (62P10) Monte Carlo methods (65C05)

This page was built for publication: Factor Analysis with Mixture Modeling to Evaluate Coherent Patterns in Microarray Data