Cheol-Hee Kim

Statistically unbiased prediction enables accurate denoising of voltage imaging data

Young-Gyu Yoon, Myunghwan Choi, Pojeong Park, 2022, bioRxiv.

A rigorous in silico genomic interrogation at 1p13.3 reveals 16 autosomal dominant candidate genes in syndromic neurodevelopmental disorders

K. R. Jun, Cheol‐Hee Kim, A. G. de la Fuente, 2022, Frontiers in Molecular Neuroscience.

Disease Modeling of Rare Neurological Disorders in Zebrafish

Myeongjoo Son, Cheol-Hee Kim, D. Kim, 2022, International journal of molecular sciences.

Highly efficient gene knockout in mice and zebrafish with RNA-guided endonucleases

S. Ha, Han-Woong Lee, Jong Min Kim, 2014, Genome research.

Ganglioside GM3 is involved in neuronal cell death

Cheol‐Hee Kim, H. Sohn, S. Ryu, 2006, FASEB journal : official publication of the Federation of American Societies for Experimental Biology.

CCDC41 is required for ciliary vesicle docking to the mother centriole

Cheol‐Hee Kim, W. Park, J. Gleeson, 2013, Proceedings of the National Academy of Sciences.

Structure-Function of the Human WAC Protein in GABAergic Neurons: Towards an Understanding of Autosomal Dominant DeSanto–Shinawi Syndrome

D. Vogt, April M Stafford, Cheol-Hee Kim, 2023, Biology.

IFT46 gene promoter-driven ciliopathy disease model in zebrafish

Tae-Ik Choi, Hyun-Taek Kim, mi-sun Lee, 2023, Frontiers in Cell and Developmental Biology.

Statistically unbiased prediction enables accurate denoising of voltage imaging data

Young-Gyu Yoon, Pilhan Kim, Kiryl D Piatkevich, 2023, Nature Methods.