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Predicting state transitions in the transcriptome and metabolome using a linear dynamical system model

BACKGROUND: Modelling of time series data should not be an approximation of input data profiles, but rather be able to detect and evaluate dynamical changes in the time series data. Objective criteria that can be used to evaluate dynamical changes in data are therefore important to filter experiment...

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Detalhes bibliográficos
Main Authors: Morioka, Ryoko, Kanaya, Shigehiko, Hirai, Masami Y, Yano, Mitsuru, Ogasawara, Naotake, Saito, Kazuki
Formato: Artigo
Idioma:Inglês
Publicado em: BioMed Central 2007
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Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC2080644/
https://ncbi.nlm.nih.gov/pubmed/17875221
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-8-343
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