Construction of genomic networks using mutual-information clustering and reversible-jump Markov-chain-Monte-Carlo predictor design

DOI10.1016/S0165-1684(02)00469-3zbMath1144.62362OpenAlexW2105637806MaRDI QIDQ947409

Xiaobo Zhou, Edward R. Dougherty, Xiaodong Wang

Publication date: 2 October 2008

Published in: Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0165-1684(02)00469-3

zbMATH Keywords

clusteringmutual informationsimulated annealingcoefficient of determinationgene regulatory networkprobabilistic Boolean networkgene microarrayMarkov chain Monte Carlo technique

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Monte Carlo methods (65C05) Learning and adaptive systems in artificial intelligence (68T05) Biochemistry, molecular biology (92C40) Numerical analysis or methods applied to Markov chains (65C40)

Related Items (6)

MIDIA: exploring denoising autoencoders for missing data imputation ⋮ NONLINEAR PROBIT GENE CLASSIFICATION USING MUTUAL INFORMATION AND WAVELET-BASED FEATURE SELECTION ⋮ An information-theoretic characterization of partitioned property spaces ⋮ A Bayesian approach to nonlinear probit gene selection and classification ⋮ EPISTEMOLOGY OF COMPUTATIONAL BIOLOGY: MATHEMATICAL MODELS AND EXPERIMENTAL PREDICTION AS THE BASIS OF THEIR VALIDITY ⋮ MODELING GENETIC REGULATORY NETWORKS: CONTINUOUS OR DISCRETE?

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