Kyoung-Jae Won

19 papers B 2C 1Journal 14Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
SC2Spa: a deep learning based approach to map transcriptome to spatial origins at cellular resolution.
BMC Bioinform.
Linbu Liao, Esha Madan, António M. Palma, Hyobin Kim, Amit Kumar, Praveen Bhoopathi, Robert Winn, Jose Trevino, Paul Fisher, Cord Herbert Brakebusch, Gahyun Kim, Junil Kim, Rajan Gogna, Kyoung-Jae Won
2023 J jnl
ChatGPT and large language models in academia: opportunities and challenges.
BioData Min.
Jesse G. Meyer, Ryan J. Urbanowicz, Patrick C. N. Martin, Karen O'Connor, Ruowang Li, Pei-Chen Peng, Tiffani J. Bright, Nicholas P. Tatonetti, Kyoung-Jae Won, Graciela Gonzalez-Hernandez, Jason H. Moore
2022 J jnl
Regularization in Network Optimization via Trimmed Stochastic Gradient Descent With Noisy Label.
IEEE Access
Kensuke Nakamura, Bong-Soo Sohn, Kyoung-Jae Won, Byung-Woo Hong
2022 — conf
Survey on unsupervised learning methods for optical flow estimation.
ICTC
Tomislav Dobricki, Xiahai Zhuang, Kyoung-Jae Won, Byung-Woo Hong
2021 J jnl
VeTra: a tool for trajectory inference based on RNA velocity.
Bioinform.
Guangzheng Weng, Junil Kim, Kyoung-Jae Won
2020 — conf
Processing Millions of Single Cells by SHARP.
BCB
Shibiao Wan, Junil Kim, Yiping Fan, Kyoung-Jae Won
2018 J jnl
Defiant: (DMRs: easy, fast, identification and ANnoTation) identifies differentially Methylated regions from iron-deficient rat hippocampus.
BMC Bioinform.
David E. Condon, Phu V. Tran, Yu-Chin Lien, Jonathan Schug, Michael K. Georgieff, Rebecca A. Simmons, Kyoung-Jae Won
2015 J jnl
A Stationary Wavelet Entropy-Based Clustering Approach Accurately Predicts Gene Expression.
J. Comput. Biol.
Nha Nguyen, An P. N. Vo, Inchan Choi, Kyoung-Jae Won
2014 J jnl
A Wavelet Approach to Detect Enriched Regions and Explore Epigenomic Landscapes.
J. Comput. Biol.
Nha Nguyen, An P. N. Vo, Kyoung-Jae Won
2014 J jnl
A wavelet-based method to exploit epigenomic language in the regulatory region.
Bioinform.
Nha Nguyen, An P. N. Vo, Kyoung-Jae Won
2014 C conf
Gaussian derivative wavelets identify dynamic changes in histone modification.
CIBCB
Nha Nguyen, Kyoung-Jae Won
2013 J jnl
Evolving Fisher Kernels for Biological Sequence Classification.
Evol. Comput.
Kyoung-Jae Won, Craig Saunders, Adam Prügel-Bennett
2008 J jnl
Modeling promoter grammars with evolving hidden Markov models.
Bioinform.
Kyoung-Jae Won, Albin Sandelin, Troels Torben Marstrand, Anders Krogh
2008 J jnl
Prediction of regulatory elements in mammalian genomes using chromatin signatures.
BMC Bioinform.
Kyoung-Jae Won, Iouri Chepelev, Bing Ren, Wei Wang
2007 J jnl
An evolutionary method for learning HMM structure: prediction of protein secondary structure.
BMC Bioinform.
Kyoung-Jae Won, Thomas Hamelryck, Adam Prügel-Bennett, Anders Krogh
2006 J jnl
Evolving the structure of hidden Markov models.
IEEE Trans. Evol. Comput.
Kyoung-Jae Won, Adam Prügel-Bennett, Anders Krogh
2005 B conf
Evolving hidden Markov models for protein secondary structure prediction.
Congress on Evolutionary Computation
Kyoung-Jae Won, Thomas Hamelryck, Adam Prügel-Bennett, Anders Krogh
2004 B conf
The Block Hidden Markov Model for Biological Sequence Analysis.
KES
Kyoung-Jae Won, Adam Prügel-Bennett, Anders Krogh
2004 J jnl
Training HMM structure with genetic algorithm for biological sequence analysis.
Bioinform.
Kyoung-Jae Won, Adam Prügel-Bennett, Anders Krogh