Author

Md. Shariful Islam Bhuyan

Bangladesh University of Engineering and TechnologyORCID 0000-0002-2221-9439Unclaimed 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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Approach:machine learning (classical)· 1 Research Focus:variant calling· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Itsik Pe’eriD· 1 shared M. Sohel RahmaniD· 1 shared

Activity by Year

2020-2020 · peak 1/yr

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2 top collaborators · 1 mutual co-author link

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1 shared paperBioinformatics

Itsik Pe’erORCID

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1 paper

Recent·Most cited

BioinformaticsBriefings in BioinformaticsPeer-reviewedAug 28, 2020

SICaRiO: Short Indel Call filteRing with bOosting

Md. Shariful Islam Bhuyan, Itsik Pe’er, M. Sohel Rahman

SICaRiO improves indel detection by using a gradient boosting classifier trained on GIAB data, enhancing variant calling pipelines and identifying genomic features responsible for indel calling errors.

5 citations

whole-genome sequencingmachine learning (classical)

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