Clustering and evolutionary analysis of small RNAs identify regulatory siRNA clusters induced under drought stress in rice. - Inuk Jung; Hongryul Ahn; Seon-Ju Shin; Jukon Kim; Hawk-Bin Kwon; Woosuk Jung; Sun Kim (BMC Syst. Biol., 2016)

Integration of heterogeneous time series gene expression data by clustering on time dimension. - Hongryul Ahn; Heejoon Chae; Woosuk Jung; Sun Kim (BigComp, 2017)

TimesVector: a vectorized clustering approach to the analysis of time series transcriptome data from multiple phenotypes. - Inuk Jung; Kyuri Jo; Hyejin Kang; Hongryul Ahn; Youngjae Yu; Sun Kim (Bioinform., 2017)

HTRgene: Integrating Multiple Heterogeneous Time-series Data to Investigate Cold and Heat Stress Response Signaling Genes in Arabidopsis. - Hongryul Ahn; Inuk Jung; Heejoon Chae; Dongwon Kang; Woosuk Jung; Sun Kim (BIBM, 2018)

Identifying stress-related genes and predicting stress types in Arabidopsis using logical correlation layer and CMCL loss through time-series data. - Dongwon Kang; Hongryul Ahn; Sangseon Lee; Chai-Jin Lee; Jihye Hur; Woosuk Jung; Sun Kim (BIBM, 2018)

DeepFunNet: Deep Learning for Gene Functional Similarity Network Construction. - Hongryul Ahn; Seunghyun Son; Sun Kim (BigComp, 2019)

HTRgene: a computational method to perform the integrated analysis of multiple heterogeneous time-series data: case analysis of cold and heat stress response signaling genes in Arabidopsis. - Hongryul Ahn; Inuk Jung; Heejoon Chae; Dongwon Kang; Woosuk Jung; Sun Kim (BMC Bioinform., 2019)

IDEA: Integrating Divisive and Ensemble-Agglomerate hierarchical clustering framework for arbitrary shape data. - Hongryul Ahn; Inuk Jung; Heejoon Chae; Minsik Oh; Inyoung Kim; Sun Kim (IEEE BigData, 2021)

mirTime: identifying condition-specific targets of microRNA in time-series transcript data using Gaussian process model and spherical vector clustering. - Hyejin Kang; Hongryul Ahn; Kyuri Jo; Minsik Oh; Sun Kim (Bioinform., 2021)

Ensemble Learning to Identify Depression Indicators for Korean Farmers. - Jinwoo Park; Hongryul Ahn; Kanwoo Youn; Minji Lee; Seunghyeok Hong (IEEE Access, 2023)