Author

Ojasvi Dutta

Louisiana State UniversityORCID 0009-0000-1898-9476Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Approach:machine learning (classical)· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Research Focus:protein structure prediction· 1

Frequent Co-Authors

Aayushi RathoreiD· 1 shared Anu Saini· 1 shared Aparna SinghiD· 1 shared Avneet SainiiD· 1 shared Jean Christopher ChamcheuiD· 1 shared Konstantin Gus KousoulasiD· 1 shared Mrinal Bamhotra· 1 shared Navjot KauriD· 1 shared

Activity by Year

2021-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperBioinformatics

Aayushi RathoreORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintJun 1, 2026

Systems Level Analysis of Gene, Pathway and Phytochemical Associations with Psoriasis

Sonalika Ray, Ojasvi Dutta, Neoklis Apostolopoulos…·Rishemjit Kaur

The paper identifies phytochemicals with multi-target activity in psoriasis by integrating transcriptomic and systems biology analyses to reveal novel regulatory mechanisms and drug candidates.

DOI 10.64898/2025.12.20.695744

humanbulk RNA-seq

𝕏 PostBluesky

BioinformaticsbioRxivPreprintSep 26, 2021

Amino Acid Composition and Charge Based Prediction of Antisepsis Peptides by Random Forest Machine Learning Algorithm

Aayushi Rathore, Anu Saini, Navjot Kaur…·Sandeep Saini

This study uses random forest to predict antiseptic peptides with high accuracy and MCC, identifying it as the best model among tested algorithms.

3 citations

proteomicsmachine learning (classical)

𝕏 PostBluesky