Author

Seunghwan Kim

Fisher CollegeORCID 0000-0002-0563-3902Unclaimed 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 Assay:bulk RNA-seq· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Assay:electronic health records· 1 Organism:human· 1 Research Focus:trajectory inference· 1

Frequent Co-Authors

Anthony G. HudetziD· 1 shared Heonsoo LeeiD· 1 shared Pangyu JooiD· 1 shared Shiyong WangiD· 1 shared

Activity by Year

2020-2025 · peak 1/yr

Co-Author Collaboration Network

4 top collaborators · 6 mutual co-author links

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1 shared paperNeuroscience

Anthony G. HudetzORCID

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2 papers

Recent·Most cited

Cancer BiologybioRxivPreprintNov 7, 2025

Hybrid Ornstein-Uhlenbeck-Branching Modeling of Pediatric Leukemia Evolution: A Computational Extension and Cohort-Level Application

Seunghwan Kim

This paper develops a computational model to simulate clonal evolution in pediatric leukemia using a hybrid OU-Branching framework and applies it to clinical data to study relapse patterns and therapeutic response.

DOI 10.1101/2025.11.07.686044

humanbulk RNA-seq

𝕏 PostBluesky

NeurosciencebioRxivPreprintJun 17, 2020

Model of intracellular ATP production reproduces common electrophysiological signatures of anesthesia

Pangyu Joo, Heonsoo Lee, Shiyong Wang…·Anthony G. Hudetz

The paper develops a neural network model linking ATP production to EEG changes under anesthesia, showing reduced ATP causes slow oscillations and burst suppression.

DOI 10.1101/2020.06.17.157149

electronic health recordsstatistical model

𝕏 PostBluesky