Author

Ming Huang

Nara Institute of Science and TechnologyORCID 0000-0002-7833-7805Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Approach:machine learning (classical)· 2 Research Focus:cell-cell communication· 1 Research Focus:differential expression· 1 Assay:electronic health records· 1 Organism:human· 1 Assay:metabolomics· 1

Frequent Co-Authors

Md. Altaf-Ul-AminiD· 2 shared Naoaki OnoiD· 2 shared Shigehiko KanayaiD· 2 shared Koshiro Kido· 1 shared Pei GaoiD· 1 shared Zheng CheniD· 1 shared

Activity by Year

2019-2021 · peak 1/yr

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6 top collaborators · 13 mutual co-author links

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2 shared papersBioinformatics

Md. Altaf-Ul-AminORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintJun 16, 2021

Integrated Metabolomics to Reveal the Impacts of Common Antibiotics based on Drug Resistance Prediction of Gut Microbiota

Pei Gao, Ming Huang, Naoaki Ono…·Md. Altaf-Ul-Amin

This study integrates metabolomics with machine learning to explore how antibiotics affect gut microbiota resistance phenotypes and their associated metabolites.

DOI 10.1101/2021.06.16.444960

humanmetabolomics

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BioinformaticsbioRxivPreprintDec 25, 2019

The Feasibility of Predicting Impending Malignant Ventricular Arrhythmias on the basis of Signal Complexity of Heartbeat Intervals

Zheng Chen, Koshiro Kido, Naoaki Ono…·Ming Huang

This paper proposes a method using heartbeat interval complexity metrics and machine learning to predict impending malignant ventricular arrhythmias with high accuracy.

DOI 10.1101/2019.12.25.888321

electronic health recordsmachine learning (classical)

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