Author

Qi Huang

Peking UniversityORCID 0000-0002-9761-1136Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Organism:human· 1 Assay:imaging· 1

Frequent Co-Authors

Boyan SheniD· 1 shared Chaolin ZhangiD· 1 shared Chunyu YuiD· 1 shared Congying WuiD· 1 shared Kaiqiang YouiD· 1 shared Minglei ShiiD· 1 shared Tingting LiiD· 1 shared Yang CheniD· 1 shared

Activity by Year

2020-2020 · peak 1/yr

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8 top collaborators · 28 mutual co-author links

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1 shared paperBioinformatics

Boyan ShenORCID

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1 paper

Recent·Most cited

Deep-learning enables proteome-scale identification of phase-separated protein candidates from immunofluorescence images

Chunyu Yu, Boyan Shen, Kaiqiang You, Qi Huang, Minglei Shi, Congying Wu, Yang Chen, Chaolin Zhang, Tingting Li

The paper uses deep learning to identify phase-separated protein candidates from immunofluorescence images by classifying spherical droplet structures.

Briefings in Bioinformatics · Jul 22, 2020Peer-reviewedBioinformatics