Author

Li Cheng

Agency for Science, Technology and ResearchORCID 0000-0003-3261-3533Unclaimed ORCID profile · follow to get notified of new preprints

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Li Cheng1 paper · Southern University of Science and Technology

Biology Disciplines

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Bioinformatics· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Assay:imaging· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Organism:Drosophila· 1 Approach:machine learning (classical)· 1 Organism:multiple species· 1

Frequent Co-Authors

Lin GuiD· 2 shared Adam Claridge‐ChangiD· 1 shared Alessandro BriaiD· 1 shared Aljoscha NerniD· 1 shared Amos Sironi· 1 shared Ann‐Shyn ChiangiD· 1 shared Arvind RamanathaniD· 1 shared Badrinath RoysamiD· 1 shared

Activity by Year

2019-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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2 shared papersBioinformatics

Lin GuORCID

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2 papers

Recent·Most cited

BioinformaticsNature MethodsPeer-reviewedApr 17, 2023

BigNeuron: A resource to benchmark and predict best-performing algorithms for automated reconstruction of neuronal morphology

Linus Manubens-Gil, Zhi Zhou, Hanbo Chen…·Hanchuan Peng

BigNeuron benchmarks automatic neuron reconstruction algorithms using gold standard annotations and image quality metrics, showing that consensus methods outperform individual algorithms.

50 citationstop 2%

multiple speciesimaging

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NeurosciencePLoS BiologyPeer-reviewedJun 27, 2019

Automated leg tracking reveals distinct conserved gait and tremor signatures in Drosophila models of Parkinson’s Disease and Spinocerebellar ataxia 3

Shuang Wu, Kah Junn Tan, Lakshmi Narasimhan Govindarajan…·Sherry Shiying Aw

The paper develops FLLIT, a machine-learning tool for automated leg tracking in Drosophila, revealing distinct gait and tremor signatures in PD and SCA3 models.

28 citations

Drosophilaimaging

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