Unsupervised Classification for Tiling Arrays: ChIP-chip and Transcriptome

DOI10.2202/1544-6115.1692zbMath1296.92105arXiv1104.5429OpenAlexW2963959387WikidataQ46752384 ScholiaQ46752384MaRDI QIDQ2921164

Sébastien Aubourg, Véronique Brunaud, Caroline Bérard, Stephane Robin, Marie-Laure Martin Magniette

Publication date: 7 October 2014

Published in: Statistical Applications in Genetics and Molecular Biology (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1104.5429

zbMATH Keywords

hidden Markov modelunsupervised classificationtiling arraysbivariate Gaussian mixture

Mathematics Subject Classification ID

Applications of Markov chains and discrete-time Markov processes on general state spaces (social mobility, learning theory, industrial processes, etc.) (60J20) Biochemistry, molecular biology (92C40)

Related Items (3)

Inference in finite state space non parametric hidden Markov models and applications ⋮ Hidden Markov models with mixtures as emission distributions ⋮ Variational Bayes approach for model aggregation in unsupervised classification with Markovian dependency

Uses Software

• mclust
• R
• EUGENE
• TAHMMAnnot
• TileMap
• NTAP
• GENEVESTIGATOR

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