Author

Vedant Mahangade

George Washington UniversityORCID 0009-0005-3116-3739Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Research Focus:gene regulatory network inference· 1 Assay:metagenomics· 1 Research Focus:variant calling· 1

Frequent Co-Authors

Ali RahnavardiD· 2 shared Keith A. CrandalliD· 2 shared Mahdi BaghbanzadehiD· 1 shared Matthew MollerusiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

4 top collaborators · 5 mutual co-author links

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2 shared papersBioinformatics

Ali RahnavardORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintFeb 18, 2026

Guided tokenization and domain knowledge enhance genomic language models' performance

Vedant Mahangade, Matthew Mollerus, Keith A. Crandall, Ali Rahnavard

This paper introduces guided tokenization and domain adaptation to improve genomic language models' performance in classification and annotation tasks.

1 citation

DNA methylationwhole-genome sequencing

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BioinformaticsbioRxivPreprintNov 4, 2025

Curating 16S rRNA databases enhances taxonomic accuracy and computational efficiency in microbial profiling

Mahdi Baghbanzadeh, Vedant Mahangade, Keith A. Crandall, Ali Rahnavard

The paper curates 16S rRNA databases to improve taxonomic accuracy and computational efficiency in microbial profiling by cleaning sequences and reducing redundancy.

2 citations

metagenomicsstatistical model

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