Hyeontae Jo†, Hong Jun Jeon, Junseok Ahn,
Saebom Jeon*,
Jae Kyoung Kim*, Seockhoon Chung*, Dysfunctional Beliefs and Attitude about Sleep-6 (DBAS-6): Data-driven Shortened Version from A Machine Learning Approach,
Sleep Medecine. 2024
.
Hyukpyo Hong†,
Seokhwan Moon†, Yuji Hirono*,
Jae Kyoung Kim*, Topological Criterion for Robust Perfect Adaptation of Reaction Fluxes in Biological Networks,
i Science
Song Yi Jeong†,
Dae Wook Kim†,
Seokmin Ha†, Gyeongik Ahn, Gyeong-Im Shin, Cam Chau Nguyen, Joon-Yung Cha,
Jae Kyoung Kim*, Woe-Yeon Kim*, Unraveling strong circadian rhythms: synergy in protein degradation and synthesis
Last update: September 10, 2023
Hyeontae Jo†,
Myna Lim†
, Hong Jun Jeon, Junseok Ahn,
Saebom Jeon,
Jae Kyoung Kim*, Seockhoon Chung*, Data-driven Shortened Insomnia Severity Index: A Machine Learning Approach.
Sleep Breath (2024)
Eui Min Jeong†,
Jae Kyoung Kim*, Robust Ultrasensitive Transcriptional Switch in Noisy Cellular Environments,
npj Systems Biology and Applications, 2024
Yun Min Song†, Jaegwon Jeong†,
Aurelio V de los Reyes†,
Dongju Lim, Chul-Hyun Cho, Ji Won Yeom, Taek Lee, Jung-Been Lee, Heon-Jeong Lee*, and
Jae Kyoung Kim*, Causal Dynamics of Sleep, Circadian Rhythm, and Mood in Major Depression and Bipolar Disorder Patients: Insights from Longitudinal Wearable Device Data,
eBioMedicine, 2024
Pan Li*,
Jae Kyoung Kim*, Circadian regulation of sinoatrial nodal cell pacemaking function: dissecting the roles of autonomic control, body temperature, and local circadian rhythmicity,
PLoS Comput Biol, 2024
Hyeontae Jo†,
Hyukpyo Hong†, Hyung Ju Hwang,
Won Chang,
Jae Kyoung Kim*, Density physics-informed neural network reveals sources of cell heterogeneity in signal transduction,
Patterns, 2023
Seok Joo Chae†
, Dae Wook Kim, Oleg A. Igoshin,
Seunggyu Lee and
Jae Kyoung Kim*, Beyond microtubule: Cellular environment at the endoplasmic reticulum attracts proteins to the nucleus, essential for nuclear transport,
iScience, 2024
Hyun Kim†,
Won Chang,
Seok Joo Chae, Jong-Eun Park, Minseok Seo,
Jae Kyoung Kim*, scLENS: Data-driven signal detection for unbiased scRNA-seq data analysis,
Nature Communications, 2024.
