Hongryul Ahn

Identifying stress-related genes and predicting stress types in Arabidopsis using logical correlation layer and CMCL loss through time-series data

Sun Kim, Dongwon Kang, Hongryul Ahn, 2018, 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

DeepFunNet: Deep Learning for Gene Functional Similarity Network Construction

Sun Kim, Hongryul Ahn, Seunghyun Son, 2019, 2019 IEEE International Conference on Big Data and Smart Computing (BigComp).

Clustering and evolutionary analysis of small RNAs identify regulatory siRNA clusters induced under drought stress in rice

Sun Kim, Inuk Jung, Hongryul Ahn, 2016, BMC Systems Biology.

TimesVector: a vectorized clustering approach to the analysis of time series transcriptome data from multiple phenotypes

Hyejin Kang, Youngjae Yu, Sun Kim, 2017, Bioinform..

HTRgene: Integrating Multiple Heterogeneous Time-series Data to Investigate Cold and Heat Stress Response Signaling Genes in Arabidopsis

Heejoon Chae, Sun Kim, Dongwon Kang, 2018, 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

mirTime: identifying condition-specific targets of microRNA in time-series transcript data using Gaussian process model and spherical vector clustering

Hyejin Kang, Kyuri Jo, Hongryul Ahn, 2019, Bioinform..

Integration of heterogeneous time series gene expression data by clustering on time dimension

Heejoon Chae, Sun Kim, Hongryul Ahn, 2017, 2017 IEEE International Conference on Big Data and Smart Computing (BigComp).

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

Heejoon Chae, Dongwon Kang, Hongryul Ahn, 2019, BMC Bioinformatics.

Impact of mutations in DNA methylation modification genes on genome-wide methylation landscapes and downstream gene activations in pan-cancer

Hongryul Ahn, Chai-Jin Lee, Dabin Jeong, 2020, BMC Medical Genomics.