Using a VOM model for reconstructing potential coding regions in EST sequences

DOI10.1007/s00180-007-0021-8zbMath1199.62066OpenAlexW2083393554WikidataQ29031471 ScholiaQ29031471MaRDI QIDQ2271692

Armin Shmilovici, Irad Ben-Gal

Publication date: 8 August 2009

Published in: Computational Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00180-007-0021-8

zbMATH Keywords

context treesvariable order Markov modelgene annotationsprotein coding DNA recognition

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Applications of statistics to biology and medical sciences; meta analysis (62P10) Biochemistry, molecular biology (92C40) Markov processes (60J99)

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Classical and quantum algorithms for constructing text from dictionary problem ⋮ A boosting method with asymmetric mislabeling probabilities which depend on covariates ⋮ Measuring the efficiency of the intraday Forex market with a universal data compression algorithm ⋮ Distributions of pattern statistics in sparse Markov models

Uses Software

• EasyGene
• TigrScan
• GlimmerHMM
• ExonHunter
• ESTScan

Cites Work

• Unnamed Item
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• A decision-theoretic generalization of on-line learning and an application to boosting
• Using a stochastic complexity measure to check the efficient market hypothesis
• A universal data compression system
• Relations between entropy and error probability
• A universal prediction lemma and applications to universal data compression and prediction
• Adaptive context trees and text clustering