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| 1 | Expression profile analysis of trichostatin A in human gastric cancer cells显示文摘 | Hosoon Lee Seongeun Lee Myungin B?k Hae-Yeong Kim Doo-Il Jeoung | 2002 | Biotechnology Letters2002，，5： | 1 |
| 2 | An affine projection algorithm with evolving order显示文摘 | K Seongeun K Sejin S Woojin | | 0，，11： | 1 |
| 3 | Microarray analysis of piceatannol-induced changes in gene expression in human gastric cancer cells显示文摘 | Dooil Jeoung Seong-Jun Oh Seongeun Lee Myungin Baek Youn-Hyung Lee Nam-In Baek Hae-Yeong Kim | 2002 | Biotechnology Letters2002，，6： | 1 |
| 4 | Preparation and characterization of SiO2 composite membrane for purification ofhydrogen from methanol steam reforming as an energy carrier system for PEMFC 显示文摘 | Lee DongWook Lee YoonGyu Nam SeongEun | 2003 | Separation and Purification Technology2003，32，： | 1 |
| 5 | gscaLCA in R: Fitting Fuzzy Clustering Analysis Incorporated with Generalized Structured Component Analysis显示文摘Clustering analysis identifying unknown heterogenous subgroups of a population(or a sample)has become increasingly popular along with the popularity of machine learning techniques.Although there are many software packages running clustering analysis,there is a lack of packages conducting clustering analysis within a structural equation modeling framework.The package,gscaLCA which is implemented in the R statistical computing environment,was developed for conducting clustering analysis and has been extended to a latent variable modeling.More specifically,by applying both fuzzy clustering(FC)algorithm and generalized structured component analysis(GSCA),the package gscaLCA computes membership prevalence and item response probabilities as posterior probabilities,which is applicable in mixture modeling such as latent class analysis in statistics.As a hybrid model between data clustering in classifications and model-based mixture modeling approach,fuzzy clusterwise GSCA,denoted as gscaLCA,encompasses many advantages from both methods:(1)soft partitioning from FC and(2)efficiency in estimating model parameters with bootstrap method via resolution of global optimization problem from GSCA.The main function,gscaLCA,works for both binary and ordered categorical variables.In addition,gscaLCA can be used for latent class regression as well.Visualization of profiles of latent classes based on the posterior probabilities is also available in the package gscaLCA.This paper contributes to providing a methodological tool,gscaLCA that applied researchers such as social scientists and medical researchers can apply clustering analysis in their research. | Ji Hoon Ryoo Seohee Park Seongeun Kim Heungsun Hwang | 2022 | Computer Modeling in Engineering & Sciences2022，，9： | 0 |
| 6 | 4-1BB-4-1BBL cis-interaction contributes to the survival of selfreactive CD8^(+)T cell显示文摘4-1BB is an inducible receptor expressed on activated T cells,while its ligand,4-1BBL,is mainly expressed in antigen-presenting cells and macrophages[1,2].To the best of our knowledge,ligandmediated transactivation of 4-1BB is responsible for the survival and immune effector functions of T cells. | Eunjung Cho Rohit Singh Chungyong Han Seon-Hee Kim Kwang H.Kim Bo-Mi Park Dong Hoon Shin Seongeun Han Young H.Kim Byoung S.Kwon Ki Taek Nam Beom K.Choi | 2023 | Cellular & Molecular Immunology2023，20，9： | 0 |
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