Author

Weidong Zhu

ORCID 0000-0002-0284-4923Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Organism:human· 1 Approach:machine learning (classical)· 1 Research Focus:variant calling· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Jianfeng YangiD· 1 shared Xiaofan DingiD· 1 shared

Activity by Year

2018-2018 · peak 1/yr

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2 top collaborators · 1 mutual co-author link

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1 shared paperBioinformatics

Jianfeng YangORCID

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1 paper

Recent·Most cited

BioinformaticsPLoS ONEPeer-reviewedDec 5, 2018

Improving the calling of non-invasive prenatal testing on 13-/18-/21-trisomy by support vector machine discrimination

Jianfeng Yang, Xiaofan Ding, Weidong Zhu

This study improves non-invasive prenatal testing accuracy for 13-/18-/21-trisomy by using a support vector machine model trained on Z values and clinical features, achieving 100% accuracy and correcting false positives/negatives.

24 citations

humanwhole-genome sequencing

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