Author

Preonath Chondrow Dev

Shahjalal University of Science and TechnologyORCID 0000-0002-6885-2379Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2 Immunology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Research Focus:differential expression· 2 Approach:machine learning (classical)· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:database / resource· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1

Frequent Co-Authors

Abdul Karim SesayiD· 1 shared Abdullah Al NahidiD· 1 shared Abigail S. KaneiD· 1 shared Alex K. ShalekiD· 1 shared Amanda Frischmann· 1 shared Ankita Chatterjee· 1 shared Apurba Ghosh· 1 shared Apurba Rajib MalakeriD· 1 shared

Activity by Year

2022-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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Focal author (center)Selected co-authorORCID co-authorUnlinked name

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1 shared paperImmunology

Abdul Karim SesayORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Unique nasal cell states induced by common pediatric respiratory viruses

Jaclyn M. Long, Lillian J. Juttukonda, Ying Tang, Ankita Chatterjee, Marc Elosua-Bayés, Erica M. Langan, Amanda Frischmann, Faith Taliaferro, Hannah R. Matthews, Kyle Kimler, Chris M. Lent, Deb Purna Keya, Preonath Chondrow Dev, Apurba Rajib Malaker, Lubana Tanvia, , Bruce Harold Horwitz

This study maps virus-specific nasal cell states in children using single-cell RNA sequencing and links them to disease severity and asthma risk.

bioRxiv · Apr 24, 2026 · PreprintImmunology

omicML: An Integrative Bioinformatics and Machine Learning Framework for Transcriptomic Biomarker Identification

Joy Prokash Debnath, Kabir Hossen, Md. Arafat Alam Khandaker, Shawon Majid, Md Mehrajul Islam, Siam Arefin, Preonath Chondrow Dev, Saifuddin Sarker, Tanvir Hossain

omicML identifies transcriptomic biomarkers by integrating data preprocessing, differential expression analysis, and machine learning for diagnostic model development.

bioRxiv · Oct 25, 2025 · PreprintBioinformatics

VirusTaxo: Taxonomic classification of virus genome using multi-class hierarchical classification by k-mer enrichment

Rajan Saha Raju, Abdullah Al Nahid, Preonath Chondrow Dev, Rashedul Islam

VirusTaxo classifies virus genomes into taxonomic ranks using k-mer enrichment and hierarchical classification, achieving high accuracy for DNA and RNA viruses.

Genomics · Jun 17, 2022Peer-reviewedBioinformatics