Doheon Lee
Doheon Lee
Professor of Bio and Brain Engineering, KAIST
Verified email at - Homepage
Cited by
Cited by
Network‐based classification of breast cancer metastasis
HY Chuang, E Lee, YT Liu, D Lee, T Ideker
Molecular systems biology 3 (1), 140, 2007
Inferring pathway activity toward precise disease classification
E Lee, HY Chuang, JW Kim, T Ideker, D Lee
PLoS computational biology 4 (11), e1000217, 2008
A taxonomy of dirty data
W Kim, BJ Choi, EK Hong, SK Kim, D Lee
Data mining and knowledge discovery 7, 81-99, 2003
Phytochromes promote seedling light responses by inhibiting four negatively-acting phytochrome-interacting factors
J Shin, K Kim, H Kang, IS Zulfugarov, G Bae, CH Lee, D Lee, G Choi
Proceedings of the National Academy of Sciences 106 (18), 7660-7665, 2009
Genome-wide analysis of genes targeted by PHYTOCHROME INTERACTING FACTOR 3-LIKE5 during seed germination in Arabidopsis
E Oh, H Kang, S Yamaguchi, J Park, D Lee, Y Kamiya, G Choi
The Plant Cell 21 (2), 403-419, 2009
On cluster validity index for estimation of the optimal number of fuzzy clusters
DW Kim, KH Lee, D Lee
Pattern Recognition 37 (10), 2009-2025, 2004
Normalization of tumor vessels by Tie2 activation and Ang2 inhibition enhances drug delivery and produces a favorable tumor microenvironment
JS Park, IK Kim, S Han, I Park, C Kim, J Bae, SJ Oh, S Lee, JH Kim, ...
Cancer Cell 30 (6), 953-967, 2016
Gene expression profiling by mRNA sequencing reveals increased expression of immune/inflammation-related genes in the hippocampus of individuals with schizophrenia
Y Hwang, J Kim, JY Shin, JII Kim, JS Seo, MJ Webster, D Lee, S Kim
Translational psychiatry 3 (10), e321, 2013
Fuzzy clustering of categorical data using fuzzy centroids
DW Kim, KH Lee, D Lee
Pattern Recognition Letters 25 (11), 1263-1271, 2004
A feature-based approach to modeling protein–protein interaction hot spots
K Cho, D Kim, D Lee
Nucleic acids research 37 (8), 2672-2687, 2009
Optogenetic mimicry of the transient activation of dopamine neurons by natural reward is sufficient for operant reinforcement
KM Kim, MV Baratta, A Yang, D Lee, ES Boyden, CD Fiorillo
PloS one 7 (4), e33612, 2012
Evaluation of the performance of clustering algorithms in kernel-induced feature space
DW Kim, KY Lee, D Lee, KH Lee
Pattern Recognition 38 (4), 607-611, 2005
RBSDesigner: software for designing synthetic ribosome binding sites that yields a desired level of protein expression
D Na, D Lee
Bioinformatics 26 (20), 2633-2634, 2010
Density-induced support vector data description
KY Lee, DW Kim, KH Lee, D Lee
IEEE Transactions on Neural Networks 18 (1), 284-289, 2007
A novel initialization scheme for the fuzzy c-means algorithm for color clustering
DW Kim, KH Lee, D Lee
Pattern Recognition Letters 25 (2), 227-237, 2004
Vascular RhoJ is an effective and selective target for tumor angiogenesis and vascular disruption
C Kim, H Yang, Y Fukushima, PE Saw, J Lee, JS Park, I Park, J Jung, ...
Cancer cell 25 (1), 102-117, 2014
Combining tissue transcriptomics and urine metabolomics for breast cancer biomarker identification
H Nam, BC Chung, Y Kim, KY Lee, D Lee
Bioinformatics 25 (23), 3151-3157, 2009
A kernel-based subtractive clustering method
DW Kim, KY Lee, D Lee, KH Lee
Pattern Recognition Letters 26 (7), 879-891, 2005
A cluster validation index for GK cluster analysis based on relative degree of sharing
YI Kim, DW Kim, D Lee, KH Lee
Information Sciences 168 (1-4), 225-242, 2004
Database summarization using fuzzy ISA hierarchies
DH Lee, MH Kim
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 27 …, 1997
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