Author

Miwa Sato

Hitachi (Japan)

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Approach:Bayesian inference· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Organism:E. coli· 1 Research Focus:gene regulatory network inference· 1 Assay:metabolomics· 1 Research Focus:perturbation response prediction· 1

Frequent Co-Authors

Shion HosodaiD· 2 shared Atsushi MochizukiiD· 1 shared Hisashi IwataiD· 1 shared Kanami Yagimoto· 1 shared Maiko Tanabe· 1 shared Michiaki HamadaiD· 1 shared Takashi OkadaiD· 1 shared Takuya Miura· 1 shared

Activity by Year

2024-2024 · peak 2/yr

Co-Author Collaboration Network

8 top collaborators · 18 mutual co-author links

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2 shared papersBioinformatics

Shion HosodaORCID

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2 papers

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

Prediction of antibiotic resistance mechanisms using a protein language model

Kanami Yagimoto, Shion Hosoda, Miwa Sato, Michiaki Hamada

This paper introduces a protein language model to predict antibiotic resistance mechanisms in ARGs, showing improved performance and interpretability on diverse datasets.

Bioinformatics · Sep 7, 2024Peer-reviewedBioinformatics