Author

Youngbeen Moon

National Cancer CenterORCID 0009-0008-9046-076XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Cancer Biology· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:benchmarking· 2 Approach:experimental assay· 2 Research Focus:variant calling· 2 Research Focus:variant effect prediction· 2 Assay:whole-exome sequencing· 2 Approach:benchmark study· 1 Research Focus:cell type annotation· 1

Frequent Co-Authors

Chung Hwan HongiD· 2 shared Jong-Kwang KimiD· 2 shared Kyeong‐Man HongiD· 2 shared Namshik HaniD· 2 shared Seong Gu HeoiD· 2 shared Tae‐Min KimiD· 2 shared Young-Ho KimiD· 2 shared Chi Chiu WangiD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 30 mutual co-author links

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2 shared papersBioinformatics

Chung Hwan HongORCID

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3 papers

Recent·Most cited

BioinformaticsbioRxivPreprintJan 27, 2026

Quantitative Optimization of Sensitivity and Specificity in Targeted and Whole-Exome Sequencing Using Reference-Standard DNA Mixtures

Youngbeen Moon, Chung Hwan Hong, Jong-Kwang Kim…·Kyeong‐Man Hong

The paper optimizes sensitivity and specificity in targeted and whole-exome sequencing using reference-standard DNA mixtures, identifying optimal pipelines and VAF thresholds to reduce false positives and improve detection.

DOI 10.64898/2026.01.25.701479

whole-exome sequencingwhole-genome sequencing

𝕏 PostBluesky

GenomicsGenome biologyPeer-reviewedDec 1, 2025

Evaluation of false positive and false negative errors in targeted next generation sequencing

Youngbeen Moon, Young-Ho Kim, Jong-Kwang Kim…·Kyeong‐Man Hong

This study evaluates false positive and false negative errors in targeted NGS by analyzing reference-standard samples from certified providers.

12 citationstop 4%

whole-exome sequencingstatistical model

𝕏 PostBluesky

Cancer BiologyGutPeer-reviewedNov 23, 2024

Spatial dissection of cellular heterogeneity and functional crosstalk in the tumor microenvironments of gastric cancers

Sung Hak Lee, Dagyeong Lee, Junyong Choi…·Tae‐Min Kim

This study uses spatial transcriptomics to analyze gastric cancer tumor microenvironments, identifying subtypes and functional interactions between cell types that correlate with clinical outcomes.

102 citationstop 1%

humanspatial transcriptomics

𝕏 PostBluesky