Author

Yexun Wang

ORCID 0000-0003-0362-1892Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:variant calling· 2 Assay:whole-exome sequencing· 2 Approach:deep learning· 1 Approach:statistical model· 1

Frequent Co-Authors

Chang XuiD· 2 shared John DiCarlo· 2 shared Raghavendra Padmanabhan· 2 shared Frank Reinecke· 1 shared Quan Peng· 1 shared Xiujing Gu· 1 shared Zhong WuiD· 1 shared

Activity by Year

2018-2020 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 18 mutual co-author links

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2 shared papersBioinformatics

Chang XuORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintJul 13, 2020

Predicting primer and panel off-target rate in QIAseq targeted DNA panels using convolutional neural networks

Chang Xu, Raghavendra Padmanabhan, Frank Reinecke…·Yexun Wang

The paper develops a CNN model to predict off-target rates in QIAseq DNA panels, achieving accurate predictions and aiding primer selection.

1 citation

whole-exome sequencingdeep learning

𝕏 PostBluesky

BioinformaticsBioinformaticsPeer-reviewedSep 5, 2018

smCounter2: an accurate low-frequency variant caller for targeted sequencing data with unique molecular identifiers

Chang Xu, Xiujing Gu, Raghavendra Padmanabhan…·Yexun Wang

smCounter2 improves variant calling for targeted sequencing data by reducing technical errors and enhancing accuracy, particularly in non-coding regions.

107 citationstop 4%

whole-exome sequencingstatistical model

𝕏 PostBluesky