Author

Maiko Tanabe

Hitachi (Japan)

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Bioinformatics· 1

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Approach:Bayesian inference· 1 Organism:E. coli· 1 Assay:metabolomics· 1 Research Focus:perturbation response prediction· 1

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Atsushi MochizukiiD· 1 shared Hisashi IwataiD· 1 shared Miwa Sato· 1 shared Shion HosodaiD· 1 shared Takashi OkadaiD· 1 shared Takuya Miura· 1 shared

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2024-2024 · peak 1/yr

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Atsushi MochizukiORCID

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1 paper

Recent·Most cited

BayesianSSA: a Bayesian statistical model based on structural sensitivity analysis for predicting responses to enzyme perturbations in metabolic networks

Shion Hosoda, Hisashi Iwata, Takuya Miura, Maiko Tanabe, Takashi Okada, Atsushi Mochizuki, Miwa Sato

BayesianSSA integrates environmental information from perturbation data into structural sensitivity analysis to predict enzyme perturbation responses in metabolic networks.

BMC Bioinformatics · Sep 10, 2024Peer-reviewedBioinformatics