Author

Xinhui Cai

University of Technology SydneyORCID 0009-0002-7590-172XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 1 Approach:machine learning (classical)· 1 Research Focus:variant calling· 1

Frequent Co-Authors

Hui PengiD· 1 shared Jinyan LiiD· 1 shared Pengyao PingiD· 1 shared Shuquan SuiD· 1 shared Tian LaniD· 1 shared Wei LiuiD· 1 shared Xuan ZhangiD· 1 shared Yi PaniD· 1 shared

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2024-2024 · peak 1/yr

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8 top collaborators · 28 mutual co-author links

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1 shared paperBioinformatics

Hui PengORCID

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1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintApr 5, 2024

Turn `noise' to signal: accurately rectify millions of erroneous short reads through graph learning on edit distances

Pengyao Ping, Shuquan Su, Xinhui Cai…·Jinyan Li

This paper introduces a method to correct millions of erroneous short reads by leveraging graph learning on edit distances, improving downstream applications like genome abundance quantification and SNP profiling.

1 citation

bulk RNA-seqmachine learning (classical)

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