Author

Kexue Li

Shanghai UniversityORCID 0000-0002-7340-7261Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Research Focus:benchmarking· 1 Research Focus:clustering· 1 Approach:machine learning (classical)· 1 Assay:metagenomics· 1 Organism:mouse· 1 Approach:statistical model· 1

Frequent Co-Authors

Li DengiD· 1 shared Lili Wang· 1 shared Lizhen ShiiD· 1 shared Yakang Lu· 1 shared Zhong WangiD· 1 shared

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2020-2020 · peak 1/yr

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5 top collaborators · 10 mutual co-author links

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1 shared paperBioinformatics

Li DengORCID

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1 paper

Recent·Most cited

BioinformaticsPeerJPeer-reviewedApr 8, 2020

Deconvolute individual genomes from metagenome sequences through short read clustering

Kexue Li, Yakang Lu, Li Deng…·Zhong Wang

The paper improves short read clustering for metagenome assembly by reducing under-clustering through sample-based statistics, showing effectiveness on mouse gut microbiome data.

8 citations

mousemetagenomics

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