Author

Peiheng Gao

Johns Hopkins University

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

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Bioinformatics· 1

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Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:dimensionality reduction· 1 Assay:electronic health records· 1 Organism:human· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Harold P. LehmanniD· 1 shared Jeanne M. ClarkiD· 1 shared Jeong Hyun Moon· 1 shared Jing-yi Ren· 1 shared Jingyi Gao· 1 shared Ranran ZhuiD· 1 shared Shanshan SongiD· 1 shared Tamás BudaváriiD· 1 shared

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2020-2020 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Harold P. LehmannORCID

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1 paper

Recent·Most cited

Machine Learning to Summarize and Provide Context for Sleep and Eating Schedules.

Tianyi Chen, Yiwen Chen, Jingyi Gao, Peiheng Gao, Jeong Hyun Moon, Jing-yi Ren, Ranran Zhu, Shanshan Song, Jeanne M. Clark, Wendy L. Bennett, Harold P. Lehmann, Tamás Budavári, Thomas B. Woolf

This study uses machine learning to analyze sleep and eating schedules from 500 participants, proposing a framework to classify chronotypes and assess circadian misalignment for health guidance.

bioRxiv · Dec 31, 2020 · PreprintBioinformatics