Author

Nikitha Thoduguli

MIT Computer Science and Artificial Intelligence LaboratoryORCID 0009-0001-6723-0869Unclaimed ORCID profile · follow to get notified of new preprints

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Genomics· 1

Signature Assays, Organisms & Methods

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Assay:ChIP-seq· 1 Research Focus:database / resource· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Bessie Li· 1 shared Dimitar Ivanov· 1 shared Janet H. T. SongiD· 1 shared Jayashabari Shankar· 1 shared Krish Vasudev· 1 shared M KellisiD· 1 shared Martin WohlwendiD· 1 shared Riley J. ManganiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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1 shared paperGenomics

Bessie Li

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1 paper

Recent·Most cited

GenomicsbioRxivPreprintAug 27, 2026

Sequence-to-function deep learning decodes human cis-regulatory evolution

Riley J. Mangan, Nikitha Thoduguli, Dimitar Ivanov…·M Kellis

This study uses sequence-to-function deep learning to identify lineage-specific cis-regulatory elements in human evolution, finding they are shorter, less conserved, and enriched in neurodevelopmental pathways.

DOI 10.64898/2026.08.24.746818

humanDNA methylation

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