Author

Sreejata Dutta

University of Kansas Medical CenterORCID 0000-0003-0717-1681Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Plant Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Research Focus:development & morphogenesis· 1 Approach:machine learning (classical)· 1 Organism:plant (other)· 1 Approach:statistical model· 1

Frequent Co-Authors

Debal DebiD· 1 shared Dinesh Pal MudaranthakamiD· 1 shared Mahendra Nauri· 1 shared Mihaela E. SardiuiD· 1 shared Yanming LiiD· 1 shared

Activity by Year

2024-2025 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 4 mutual co-author links

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1 shared paperPlant Biology

Debal DebORCID

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2 papers

Recent·Most cited

Plant BiologyBiologia FuturaPeer-reviewedAug 12, 2025

The Effect of Sunlight Intensity on Flower Opening Time and Exposure Duration in Rice (Oryza sativa ssp. indica) Landraces

Debal Deb, Sreejata Dutta, Mahendra Nauri

This study examines how sunlight intensity affects flower opening time and duration in rice landraces, finding that cloudy conditions delay flowering and prolong the sunrise-to-anthesis duration.

3 citations

plant (other)statistical model

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BioinformaticsMolecular OmicsPeer-reviewedApr 16, 2024

PerSEveML: A Web-Based Tool to Identify Persistent Biomarker Structure for Rare Events Using Integrative Machine Learning Approach

Sreejata Dutta, Dinesh Pal Mudaranthakam, Yanming Li, Mihaela E. Sardiu

PerSEveML identifies persistent biomarker structures for rare events using an integrative machine learning approach and provides visualization tools for hypothesis generation.

2 citations

machine learning (classical)benchmarking

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