Author

Debra Van Egeren

Stanford MedicineORCID 0000-0002-4017-0413Unclaimed 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:clustering· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Assay:protein sequence· 1 Research Focus:protein structure prediction· 1 Assay:whole-exome sequencing· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Aaron M. HorningiD· 1 shared Annika K K WeimeriD· 1 shared Anshul Bharat KundajeiD· 1 shared Arijit ChakravartyiD· 1 shared Aziz KhaniD· 1 shared Bahareh BahmaniiD· 1 shared Basil MichaeliD· 1 shared Casey Ryan HansoniD· 1 shared

Activity by Year

2024-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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1 shared paperCancer Biology

Aaron M. HorningORCID

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2 papers

Recent·Most cited

Cancer BiologyNaturePeer-reviewedNov 25, 2025

Polyclonal origins of human premalignant colorectal lesions

Debra Van Egeren, Ryan O. Schenck, Aziz Khan…·Christina N. Curtis

This study shows that many premalignant colorectal polyps contain multiple genetic lineages, indicating polyclonal origins rather than single-cell expansion.

10 citationstop 4%

humanwhole-genome sequencing

BioinformaticsFrontiers in BioinformaticsPeer-reviewedFeb 22, 2024

COMPUTATIONAL IDENTIFICATION OF ANTIBODY-BINDING EPITOPES FROM MIMOTOPE DATASETS

Rang Li, Sabrina Wilderotter, Madison Stoddard…·Diane Joseph‐McCarthy

The paper introduces two methods to map mimotopes to epitopes, including an ensemble approach and a novel algorithm called MimoTree that handles gaps in sequences.

4 citations

protein sequencestatistical model