Author

Mirae Kim

Rice UniversityORCID 0000-0002-0873-7408Unclaimed ORCID profile · follow to get notified of new preprints

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Mirae Kim1 paper · Inha University

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Assay:DNA methylation· 2 Approach:statistical model· 2 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Vicky YaoiD· 2 shared Genevera I. AlleniD· 1 shared Ruth DannenfelseriD· 1 shared Wei-Hao LeeiD· 1 shared Yufei CuiiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

5 top collaborators · 7 mutual co-author links

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2 shared papersBioinformatics

Vicky YaoORCID

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2 papers

Recent·Most cited

MONTE enables unified pan-cancer tumor purity estimation andmethylation correction from bulk DNA methylation arrays

Mirae Kim, Wei-Hao Lee, Vicky Yao

MONTE provides a unified framework for tumor purity estimation and methylation correction from bulk DNA methylation data, improving accuracy and generalizability across cancer types.

bioRxiv · Aug 26, 2026 · PreprintBioinformatics

Ontology-aware DNA methylation classification with a curated atlas ofhuman tissues and cell types

Mirae Kim, Ruth Dannenfelser, Yufei Cui, Genevera I. Allen, Vicky Yao

The paper introduces an ontology-aware classification framework for DNA methylation data using a curated atlas of healthy human tissues and cell types, identifying CpG sites that accurately classify tissues and cell types.

Cell Reports Methods · Mar 1, 2026Peer-reviewedBioinformatics