Author

Mehdi Neshat

University of South AustraliaORCID 0000-0002-9537-9513Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Buu Minh Thanh TruongiD· 1 shared Julius H. J. van der WerfiD· 1 shared Md Mesbah UddiniD· 1 shared S. Hong LeeiD· 1 shared Soohyun Lee· 1 shared

Activity by Year

2022-2022 · peak 1/yr

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5 top collaborators · 10 mutual co-author links

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1 shared paperGenomics

Buu Minh Thanh TruongORCID

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1 paper

Recent·Most cited

GenomicsbioRxivPreprintJul 3, 2022

A novel hyper-parameter can increase the prediction accuracy in a single-step genetic evaluation

Mehdi Neshat, Soohyun Lee, Md Mesbah Uddin…·S. Hong Lee

This paper introduces a new hyper-parameter, the scale factor, to improve the prediction accuracy of the HBLUP method in genetic evaluation using simulated and real cattle data.

1 citation

statistical modelvariant effect prediction

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