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Daewon Lee

Showing results (1-10 of 57) with videos related to

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Bioinformatics (Oxford, England)|May 13, 2022
Nezzle: an interactive and programmable visualization of biological networks in PythonDaewon Lee
Bioinformatics (Oxford, England)|July 8, 2023
LPF: a framework for exploring the wing color pattern formation of ladybird beetles in PythonDaewon Lee
IEEE Transactions on Pattern Analysis and Machine Intelligence|March 8, 2005
An improved cluster labeling method for support vector clusteringJaewook Lee, Daewon Lee
IEEE Transactions on Neural Networks|March 28, 2007
Equilibrium-based support vector machine for semisupervised classificationDaewon Lee, Jaewook Lee
IEEE Transactions on Pattern Analysis and Machine Intelligence|October 27, 2006
Dynamic characterization of cluster structures for robust and inductive support vector clusteringJaewook Lee, Daewon Lee
Scientific Reports|October 5, 2019
Signal flow control of complex signaling networksDaewon Lee, Kwang-Hyun Cho
Scientific Reports|March 29, 2018
Topological estimation of signal flow in complex signaling networksDaewon Lee, Kwang-Hyun Cho
Plos One|October 7, 2015
Precritical State Transition Dynamics in the Attractor Landscape of a Molecular Interaction Network Underlying Colorectal TumorigenesisHyunho Chu, Daewon Lee, Kwang-Hyun Cho
IEEE Transactions on Neural Networks|March 5, 2009
Constructing sparse kernel machines using attractorsDaewon Lee, Kyu-Hwan Jung, Jaewook Lee
Scientific Reports|July 5, 2014
A design principle underlying the paradoxical roles of E3 ubiquitin ligasesDaewon Lee, Minjin Kim, Kwang-Hyun Cho
Pageof 6

Showing results (1-10 of 57) with videos related to

Sort By:
Pageof 6
Bioinformatics (Oxford, England)|May 13, 2022
Nezzle: an interactive and programmable visualization of biological networks in PythonDaewon Lee
Bioinformatics (Oxford, England)|July 8, 2023
LPF: a framework for exploring the wing color pattern formation of ladybird beetles in PythonDaewon Lee
IEEE Transactions on Pattern Analysis and Machine Intelligence|March 8, 2005
An improved cluster labeling method for support vector clusteringJaewook Lee, Daewon Lee
IEEE Transactions on Neural Networks|March 28, 2007
Equilibrium-based support vector machine for semisupervised classificationDaewon Lee, Jaewook Lee
IEEE Transactions on Pattern Analysis and Machine Intelligence|October 27, 2006
Dynamic characterization of cluster structures for robust and inductive support vector clusteringJaewook Lee, Daewon Lee
Scientific Reports|October 5, 2019
Signal flow control of complex signaling networksDaewon Lee, Kwang-Hyun Cho
Scientific Reports|March 29, 2018
Topological estimation of signal flow in complex signaling networksDaewon Lee, Kwang-Hyun Cho
Plos One|October 7, 2015
Precritical State Transition Dynamics in the Attractor Landscape of a Molecular Interaction Network Underlying Colorectal TumorigenesisHyunho Chu, Daewon Lee, Kwang-Hyun Cho
IEEE Transactions on Neural Networks|March 5, 2009
Constructing sparse kernel machines using attractorsDaewon Lee, Kyu-Hwan Jung, Jaewook Lee
Scientific Reports|July 5, 2014
A design principle underlying the paradoxical roles of E3 ubiquitin ligasesDaewon Lee, Minjin Kim, Kwang-Hyun Cho
Pageof 6