Author

Shivani Sehrawat

University of SaskatchewanORCID 0000-0003-0224-1820Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Organism:Arabidopsis· 1 Research Focus:benchmarking· 1 Approach:deep learning· 1 Assay:DNA methylation· 1 Research Focus:gene regulatory network inference· 1 Organism:plant (other)· 1 Research Focus:variant effect prediction· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Keyhan NajafianiD· 1 shared Lingling JiniD· 1 shared

Activity by Year

2023-2023 · peak 1/yr

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1 shared paperBioinformatics

Keyhan NajafianORCID

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1 paper

Recent·Most cited

BioinformaticsBioinformatics AdvancesPeer-reviewedJan 1, 2023

Predicting Phenotypes From Novel Genomic Markers Using Deep Learning

Shivani Sehrawat, Keyhan Najafian, Lingling Jin

This paper develops a deep learning model to predict phenotypes using structural variations and transposable elements, showing higher accuracy than SNPs and conventional models.

12 citations

Arabidopsisplant (other)

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