Junil Kim

Computational Biologist focusing on single cell transcriptomics in space-time continuum
School of Systems Biomedical Science, Soongsil University

[Junil Kim @JunilKim_caleb]

https://t.co/Q6tTZMI543

[JSBi @npoJSBi]

BIOINFO-GIW 2026
https://t.co/B7OnLXQQZo

2026年11月17日〜20日にかけて韓国・ソウルにてGIW & BIOINFO joint event　BIOINFO/GIW　ISCB-Asia 2026が開催されます。

プレナリーセッションでは当学会からも有田正規教授が登壇されます。
詳しくは大会HPをご覧ください。
https://t.co/B7OnLXQQZo

[Junil Kim @JunilKim_caleb]

We were able to propose one of the immune evasion mechanisms in CRC through single-cell RNA sequencing, and validated it with cell-based experiments. Our study has been published in Cancer Communications.

https://t.co/hK7zFJcMc2

[Junil Kim @JunilKim_caleb]

생명정보학회에서 2026년 교육워크샵을 준비했습니다. 최신 트렌드에 맞춰서 파운데이션 모델 등의 강의를 새롭게 제공하고 있습니다. 많은 등록 부탁드립니다.

https://t.co/0ydD6AFJg1

[Junil Kim @JunilKim_caleb]

A Generalizable Transformer Framework for Gene Regulatory Network Inference from Single‐Cell Transcriptomes - Weng - Advanced Intelligent Systems - Wiley Online Library https://t.co/Ha4vYP6pP2

[Junil Kim @JunilKim_caleb]

Is the GRN that governs development easier to control in the early or late stages? We analyzed zebrafish developmental stages to find the answer. I am happy to share that our work, conducted with my students has been published in Scientific Reports.
https://t.co/LZvIf5esY9

[Junil Kim @JunilKim_caleb]

CellCraft: an extensible visual programming application for gene regulatory network inference https://t.co/clVUwva0YD

[Itoshi NIKAIDO @dritoshien]

Huge thanks for the SCODE acceleration! Amazing job! 👍

[Junil Kim @JunilKim_caleb]

@dritoshien Thanks for your acknowledgment

[Junil Kim @JunilKim_caleb]

FastSCODE: an accelerated SCODE algorithm for inferring gene regulatory networks on manycore processors https://t.co/1C77IuCXNF

[Junil Kim @JunilKim_caleb]

CluVar: clustering of variants using autoencoder for inferring cancer subclones from single cell RNA sequencing data https://t.co/H0MYJ1n6LF

[Junil Kim @JunilKim_caleb]

Patrick’s Vesalius 2.0 enables an interpretable cell-cell mapping in spatial context. Congratulations!!

https://t.co/qigIVLTFOF

[Junil Kim @JunilKim_caleb]

https://t.co/34cw3NWc8Y

[Kyoungjae Won @KJWonKJ]

Applying a foundation model for gene and cell to reconstruct gene regulatory networks (GRN). Great performance and transferability. It performs even for unseen cell type and regulators . Works by Guangzheng,
@pcnmartin and @HyobinKim4 at Advanced Sci.
https://t.co/uCA3uX3Icl

[Junil Kim @JunilKim_caleb]

FastTENET: an accelerated TENET algorithm based on manycore computing in Python https://t.co/eN1cqXJoNy

[Junil Kim @JunilKim_caleb]

Application of computational algorithms for single-cell RNA-seq and ATAC-seq in neurodegenerative diseases https://t.co/Vc1LvItJu8

[Junil Kim @JunilKim_caleb]

Inflammatory transcriptomic signatures and cell type compositions in i... https://t.co/YbuV4Nk88T

Deconvolution of RNAseq of UC into cell type transcriptional signatures

[Sooyeon Yoo @allthatcoffee]

I'm excited to share our recent preprint, which investigates scRNA-seq and spatial transcriptomic analysis in Parkinson’s disease patients from Korea. Working with human brain tissue has been invaluable, and I'm grateful for the contributors' valuable input in this study!

[Junil Kim @JunilKim_caleb]

I am happy to share our preprint of a Parkinson’s disease study using snRNAsrq and Visium. We found PD-related transcriptomic and regional changes of astrocytes and microglia. https://t.co/PHoeHD4bRX

[Junil Kim @JunilKim_caleb]

Current computational methods for spatial transcriptomics in cancer bi... https://t.co/Pk2pnkUokw