Author

Tejas Sreedhar

University of California, Berkeley

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 1 Assay:DNA methylation· 1 Organism:human· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Mythili S SubharamiD· 1 shared Ryan T. KoehleriD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

2 top collaborators · 1 mutual co-author link

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1 shared paperBioinformatics

Mythili S SubharamORCID

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1 paper

Recent·Most cited

A Generalizable Machine Learning Model for Early Detection of Hepatocellular Carcinoma Using Bisulfite Sequencing Data: A feasibility study with preclinical validation

Mythili S Subharam, Ryan T. Koehler, Tejas Sreedhar

This paper develops a machine learning framework for early HCC detection using bisulfite sequencing data, showing high accuracy across multiple assay platforms and sample types.

bioRxiv · Jun 9, 2025 · PreprintBioinformatics