Author

Nikesh Gyawali

Kansas State University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Approach:deep learning· 1 Organism:fungi (other)· 1 Research Focus:gene regulatory network inference· 1 Approach:statistical model· 1 Research Focus:variant calling· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Barbara S. ValentiD· 1 shared David E. CookiD· 1 shared Doina CarageaiD· 1 shared Giovana CruppeiD· 1 shared Guifang LiniD· 1 shared Huakun ZhengiD· 1 shared Jun T. HuangiD· 1 shared Lidia CalderóniD· 1 shared

Activity by Year

2024-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperGenomics

Barbara S. ValentORCID

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Author profile →

1 paper

Recent·Most cited

Using recurrent neural networks to detect supernumerary chromosomes in fungal strains causing blast diseases

Nikesh Gyawali, Yangfan Hao, Guifang Lin, Jun T. Huang, Ravi Bika, Lidia Calderón, Huakun Zheng, Giovana Cruppe, Doina Caragea, David E. Cook, Barbara S. Valent, Sanzhen Liu

This study uses Bi-LSTM models to detect mini-chromosomes in M. oryzae strains, finding their prevalence increased in recent wheat strains.

NAR Genomics and Bioinformatics · Jul 2, 2024Peer-reviewedGenomics