Author

Aninda Arnab Pandit

Khulna 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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Plant Biology· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Approach:machine learning (classical)· 1 Organism:plant (other)· 1 Approach:statistical model· 1

Frequent Co-Authors

Joyanti RayiD· 1 shared M Shahina Sultana· 1 shared Mamun Abdullah AliD· 1 shared Md. Borhan Ali Sorker· 1 shared Md. Monirul IslamiD· 1 shared Md. Musabbir Hossain Shoun· 1 shared Md. RezveiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 21 mutual co-author links

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1 shared paperPlant Biology

Joyanti RayORCID

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1 paper

Recent·Most cited

MGIDI selection and machine learning reveal harvest index driving traits in sodium azide-induced rice mutants with SSR-based genetic diversity

Mamun Abdullah Al, Md. Rezve, Md. Borhan Ali Sorker, Md. Musabbir Hossain Shoun, M Shahina Sultana, Aninda Arnab Pandit, Joyanti Ray, Md. Monirul Islam

This study uses MGIDI selection and machine learning to identify elite rice mutants with high harvest index traits from sodium azide-induced populations.

bioRxiv · Feb 18, 2026 · PreprintPlant Biology