Author

Euijin Kwon

University of Massachusetts Chan Medical School

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· 2 Genomics· 2

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 3 Organism:human· 3 Assay:bulk RNA-seq· 2 Approach:machine learning (classical)· 2 Research Focus:benchmarking· 1 Assay:DNA methylation· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Zixiu LiiD· 3 shared Chan ZhouiD· 2 shared Chan ZhouiD· 1 shared Cheryl A. LondoniD· 1 shared Christopher R. HustediD· 1 shared Corrie PainteriD· 1 shared Diane P. GenereuxiD· 1 shared Elinor K. KarlssoniD· 1 shared

Activity by Year

2022-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 19 mutual co-author links

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3 shared papersBioinformatics

Zixiu LiORCID

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Single-base mapping of m6A in lncRNAs reveals a distinct landscape linked to transposable elements and RNA processing

Euijin Kwon, Zixiu Li, Chan Zhou

The paper maps m6A modifications in lncRNAs at single-base resolution, revealing distinct patterns linked to transposable elements, RNA structure, and splicing.

bioRxiv · Oct 31, 2026 · PreprintGenomics

Impact of preanalytical factors on liquid biopsy in the canine cancer model

Kate Megquier, Christopher R. Husted, Justin Rhoades, Michelle E. White, Diane P. Genereux, Frances L. Chen, Kan Xiong, Euijin Kwon, Ross Swofford, Corrie Painter, Viktor A. Adalsteinsson, Cheryl A. London, Heather L. Gardner, Elinor K. Karlsson

This study evaluates how preanalytical factors affect liquid biopsy in canine cancer models, finding that tumor content and metrics vary by blood draw location and cancer type.

Communications Medicine · Jun 11, 2026Peer-reviewedGenomics

BAMBI: Integrative biostatistical and artificial-intelligence method discover coding and non-coding RNA genes as biomarkers

Peng Zhou, Zixiu Li, Feifan Liu, Euijin Kwon, Tien‐Chan Hsieh, Shangyuan Ye, Shobha Vasudevan, Jung-Ae Lee, Chan Zhou

BAMBI identifies coding and non-coding RNA genes as biomarkers for disease diagnosis and prognosis with high accuracy and biological interpretability.

bioRxiv · Jan 12, 2024 · PreprintBioinformatics

Flnc: Machine Learning Improves the Identification of Novel Full-length Long Noncoding RNAs from RNA Sequencing Data Without Transcriptional Initiation Profiles

Zixiu Li, Peng Zhou, Euijin Kwon, Katherine A. Fitzgerald, Zhiping Weng, Chan Zhou

Flnc improves lncRNA identification from RNA-seq data by using machine learning, achieving over 85% accuracy without requiring H3K4me3 profiles.

bioRxiv · Aug 2, 2022 · PreprintBioinformatics