Author

Sukyeon Ha

Kangwon National UniversityORCID 0009-0007-8192-3921Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Approach:deep learning· 1 Research Focus:fine-mapping· 1 Research Focus:GWAS / association mapping· 1 Organism:human· 1 Approach:statistical model· 1 Research Focus:variant calling· 1 Approach:variational autoencoder· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Hansol ChoiiD· 2 shared Whan-Hyuk ChoiiD· 2 shared Asta BlažytėiD· 1 shared Changhan YooniD· 1 shared Chanyoung LeeiD· 1 shared Dan M BolseriD· 1 shared Dooyoung JungiD· 1 shared Eun‐Seok ShiniD· 1 shared

Activity by Year

2024-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersNeuroscience

Hansol ChoiORCID

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2 papers

Recent·Most cited

NeurosciencebioRxivPreprintMar 3, 2024

Generative Adversarial Implicit Successor Representation

Whan-Hyuk Choi, Sukyeon Ha, Hansol Choi

This paper introduces a method to implicitly encode Successor Representations using a GAN, enabling action decisions without explicit probability calculations.

DOI 10.1101/2024.03.03.581078

deep learningvariational autoencoder

𝕏 PostBluesky

GenomicsGigaSciencePeer-reviewedJan 1, 2024

Korea4K: whole genome sequences of 4,157 Koreans with 107 phenotypes derived from extensive health check-ups

Sungwon Jeon, Hansol Choi, Yeonsu Jeon…·Jong Bhak

Korea4K presents whole-genome sequences of 4,157 Koreans with 107 health parameters, identifying new genotype-phenotype associations and improving imputation performance.

24 citationstop 2%

humanwhole-genome sequencing

𝕏 PostBluesky