Jong Kyoung Kim
Jong Kyoung Kim
Assistant professor, Department of New Biology, DGIST
Verified email at - Homepage
Cited by
Cited by
Accounting for technical noise in single-cell RNA-seq experiments
P Brennecke, S Anders, JK Kim, AA Kołodziejczyk, X Zhang, V Proserpio, ...
Nature methods 10 (11), 1093, 2013
The technology and biology of single-cell RNA sequencing
AA Kolodziejczyk, JK Kim, V Svensson, JC Marioni, SA Teichmann
Molecular cell 58 (4), 610-620, 2015
Single cell RNA-sequencing of pluripotent states unlocks modular transcriptional variation
AA Kolodziejczyk, JK Kim, JCH Tsang, T Ilicic, J Henriksson, ...
Cell stem cell 17 (4), 471-485, 2015
Classification of low quality cells from single-cell RNA-seq data
T Ilicic, JK Kim, AA Kolodziejczyk, FO Bagger, DJ McCarthy, JC Marioni, ...
Genome biology 17 (1), 29, 2016
Characterizing noise structure in single-cell RNA-seq distinguishes genuine from technical stochastic allelic expression
JK Kim, AA Kolodziejczyk, T Ilicic, SA Teichmann, JC Marioni
Nature communications 6 (1), 1-9, 2015
Arabidopsis nuclear-encoded plastid transit peptides contain multiple sequence subgroups with distinctive chloroplast-targeting sequence motifs
DW Lee, JK Kim, S Lee, S Choi, S Kim, I Hwang
The Plant Cell 20 (6), 1603-1622, 2008
Inferring the kinetics of stochastic gene expression from single-cell RNA-sequencing data
JK Kim, JC Marioni
Genome biology 14 (1), R7, 2013
Genome-wide bisulfite sequencing in zygotes identifies demethylation targets and maps the contribution of TET3 oxidation
JR Peat, W Dean, SJ Clark, F Krueger, SA Smallwood, G Ficz, JK Kim, ...
Cell reports 9 (6), 1990-2000, 2014
Stella modulates transcriptional and endogenous retrovirus programs during maternal-to-zygotic transition
Y Huang, JK Kim, DV Do, C Lee, CA Penfold, JJ Zylicz, JC Marioni, ...
Elife 6, e22345, 2017
NFκB and STAT3 synergistically activate the expression of FAT10, a gene counteracting the tumor suppressor p53
Y Choi, JK Kim, JY Yoo
Molecular oncology 8 (3), 642-655, 2014
Prediction of subcellular localization of proteins using pairwise sequence alignment and support vector machine
JK Kim, GPS Raghava, SY Bang, S Choi
Pattern Recognition Letters 27 (9), 996-1001, 2006
Flipping between Polycomb repressed and active transcriptional states introduces noise in gene expression
G Kar, JK Kim, AA Kolodziejczyk, KN Natarajan, ET Triglia, B Mifsud, ...
Nature communications 8 (1), 1-14, 2017
Prediction and experimental validation of novel STAT3 target genes in human cancer cells
YM Oh, JK Kim, Y Choi, S Choi, JY Yoo
PloS one 4 (9), 2009
Identification of co-occurring transcription factor binding sites from DNA sequence using clustered position weight matrices
YM Oh, JK Kim, S Choi, JY Yoo
Nucleic acids research 40 (5), e38-e38, 2012
The International Mouse Phenotyping Consortium (IMPC): a functional catalogue of the mammalian genome that informs conservation
V Muñoz-Fuentes, P Cacheiro, TF Meehan, JA Aguilar-Pimentel, ...
Conservation Genetics, 1-11, 2018
Probabilistic models for semisupervised discriminative motif discovery in DNA sequences
JK Kim, S Choi
IEEE/ACM transactions on computational biology and bioinformatics 8 (5 …, 2010
Sequence-driven features for prediction of subcellular localization of proteins
JK Kim, SY Bang, S Choi
Pattern recognition 39 (12), 2301-2311, 2006
Independent arrays or independent time courses for gene expression time series data analysis
S Kim, JK Kim, S Choi
Neurocomputing 71 (10-12), 2377-2387, 2008
Clustering with r-regular graphs
JK Kim, S Choi
Pattern recognition 42 (9), 2020-2028, 2009
Tree-dependent components of gene expression data for clustering
JK Kim, S Choi
International Conference on Artificial Neural Networks, 837-846, 2006
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