Hongryul Ahn

Contact

hrahn@snu.ac.kr

International Papers

  • Ahn H, Jung I, Chae H, Oh M, Kim I, Kim S. IDEA: Integrating Divisive and Ensemble-Agglomerate hierarchical clustering framework for arbitrary shape data. 2021 IEEE International Conference on Big Data (Big Data). 8th Annual Workshop on Big Data Analytic Technology for Bioinformatics and Health Informatics (KDDBHI), 2021. Accepted.
  • Jo HY, Lee Y, Ahn H, Han HJ, Kwon A, Kim BY, Ha HY, Kim SC, Kim JH, Kim YO, Kim S, Koo SK, Park MH. Functional in vivo and in vitro effects of 20q11.21 genetic aberrations on hPSC differentiation. Scientific reports 10 (1), 1-14. 2020 Oct 29.
  • Hoang N. V., Choe G, Zheng Y, Fandino A. C. A, Sung I, Hur J, Kamran M, Park C, Kim H, Ahn H, Kim S, Fei Z, Lee J. Identification of Conserved Gene-Regulatory Networks that Integrate Environmental Sensing and Growth in the Root Cambium. Current Biology, 2020 Aug 3.
  • Lee CJ, Ahn H, Jeong D, Pak M, Moon JH, Kim S. Impact of mutations in DNA methylation modification genes on genome-wide methylation landscapes and downstream gene activations in pan-cancer. BMC Medical Genomics, 2020 Feb 24. [From The 30th International Conference on Genome Informatics (GIW)]
  • Kang D, Ahn H, Lee S, Lee CJ, Hur J, Jung W, Kim S. StressGenePred: a twin prediction model architecture for classifying the stress types of samples and discovering stress-related genes in Arabidopsis. BMC Genomics, 2019 Dec 20.
  • Ahn H, Jung I, Chae H, Kang D, Jung W, Kim S. 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. BMC Bioinformatics, 2019 Dec 2.
  • Ahn H, Jo K, Jeong D, Pak M, Hur J, Jung W, Kim S. PropaNet: Time-varying condition-specific transcriptional network construction by network propagation. Frontiers in Plant Science, 2019 Jun 14.
  • Kang H, Ahn H, Jo K, Oh M, Kim S. mirTime: Identifying Condition-Specific Targets of MicroRNA in Time-series Transcript Data using Gaussian Process Model and Spherical Vector Clustering. Bioinformatics. 2019 May 9.
  • Ahn H, Son S, Kim S. DeepFunNet: Deep Learning for Gene Functional Similarity Network Construction. The 6th IEEE International Conference on Big Data and Smart Computing (BigComp), 2019 Mar 2.
  • Jung I, Jo K, Kang H, Ahn H, Yu Y, Kim S, TimesVector: a vectorized clustering approach to the analysis of time series transcriptome data from multiple phenotypes. Bioinformatics. 2017 Dec 1.

Conference Papers

  • Kang D, Ahn H, Lee S, Lee CJ, Hur J, Jung W, Kim S. Identifying stress-related genes and predicting stress types in Arabidopsis using logical correlation layer and CMCL loss through time-series data. The 2018 International Conference on Bioinformatics and Biomedicine (BIBM). 2018 Dec 4. [Invited to BMC Genomics]
  • Ahn H, Chae H, Kim S, Integration of heterogeneous time series gene expression data by clustering on time dimension, 2017 IEEE International Conference on Big Data and Smart Computing (BigComp 2017)
  • Lee CJ, Ahn H, Lee SB, Shin JY, Park WY, Kim JI, Lee JH, Ryu H, Kim S. Integrated analysis of omics data using microRNA-target mRNA network and PPI network reveals regulation of Gnai1 function in the spinal cord of EWS KO mice. The 5th Translational Bioinformatics Conference (TBC 2015), Tokyo, Japan.