ResearchWho Lab

#15. Ensemble Learning to Identify Depression Indicators for Korean Farmers

Jinwoo Park, Hongryul Ahn, Kanwoo Yoon, Minji Lee, Seunghyeok Hong

2023.10.23 · IEEE Access · 11:118787-118800

https://doi.org/10.1109/ACCESS.2023.3327126

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#14. Precise Characterization of Genetic Interactions in Cancer via Molecular Network Refining Processes

Jinmyung Jung,Yongdeuk Hwang, Hongryul Ahn, Sunjae Lee, Sunyong Yoo

2021.10.15 · International Journal of Molecular Sciences · 22(20):11114

https://doi.org/10.3390/ijms222011114

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#13. 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

2021.06.01 · Bioinformatics · 37(11):1544-1553

(DOI) https://doi.org/10.1093/bioinformatics/btz306

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#12. Functional in vivo and in vitro effects of 20q11.21 genetic aberrations on hPSC differentiation

Hye-Yeong Jo, Youngsun Lee, Hongryul Ahn, Hyeong-Jun Han, Ara Kwon, Bo-Young Kim, Hye-Yeong Ha, Sang Cheol Kim, Jung-Hyun Kim, Yong-Ou Kim, Sun Kim, Soo Kyung Koo, Mi-Hyun Park

2020.10.29 · Scientific Reports · 10:18582

https://doi.org/10.1038/s41598-020-75657-7

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#11. Identification of Conserved Gene-Regulatory Networks that Integrate Environmental Sensing and Growth in the Root Cambium

Nam V. Hoang, Goh Choe, Yi Zheng, Ana Cecilia Aliaga Fandino, Inyoung Sung, Jaeryung Hur, Muhammad Kamran, Chulmin Park, Hyoujin Kim, Hongryul Ahn, Sun Kim, Zhangjun Fei, Ji-Young Lee

2020.08.03 · Current Biology · 30(15):R880-R883

https://doi.org/10.1016/j.cub.2020.05.046

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

Chai-Jin Lee, Hongryul Ahn, Dabin Jeong, Minwoo Pak, Ji Hwan Moon, Sun Kim

2020.02.24 · BMC Medical Genomics · 13(Suppl 3):27

(DOI) https://doi.org/10.1186/s12920-020-0659-4

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#9. StressGenePred: a twin prediction model architecture for classifying the stress types of samples and discovering stress-related genes in Arabidopsis

Dongwon Kang, Hongryul Ahn, Sangseon Lee, Chai-Jin Lee, Jihye Hur, Woosuk Jung, Sun Kim

2019.12.20 · BMC Genomics · 20(Suppl 11):949

https://doi.org/10.1186/s12864-019-6283-z

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#8. 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

2019.12.02 · BMC Bioinformatics · 20(Suppl 16):588

(DOI) https://doi.org/10.1186/s12859-019-3072-2

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#7. PropaNet: time-varying condition-specific transcriptional network construction by network propagation

Hongryul Ahn, Kyuri Jo, Dabin Jeong, Minwoo Pak, Jihye Hur, Woosuk Jung, Sun Kim

2019.06.14 · Frontiers in Plant Science · 10:698

(DOI) https://doi.org/10.3389/fpls.2019.00698

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#6. 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

2017.12.01 · Bioinformatics · 33(23):3827-3835

(DOI) https://doi.org/10.1093/bioinformatics/btw780

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#5. Transcriptional network analysis reveals drought resistance specific biological mechanisms underlying AP2/ERF transgenic rice species

Hongryul Ahn, Inuk Jung, Seon-Ju Shin, Jinwoo Park, Sungmin Rhee, Ju-Kon Kim, Woosuk Jung, Hawk-Bin Kwon, Sun Kim

2017.06.15 · Frontiers in Plant Science · 8:1044

(DOI) https://doi.org/10.3389/fpls.2017.01044

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

Inuk Jung, Hongryul Ahn, Seon-Ju Shin, Ju-Kon Kim, Hawk-Bin Kwon, Woosuk Jung, Sun Kim

2016.12.23 · BMC Systems Biology · 10(Suppl 4):115

https://doi.org/10.1186/s12918-016-0355-3

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#3. Novel drought-responsive regulatory coding and non-coding transcripts from Oryza Sativa L

Seon-Ju Shin, Hongryul Ahn, Inuk Jung, Sungmin Rhee, Sun Kim, Hawk-Bin Kwon

2016.10.01 · Genes & Genomics · 38(10):949-960

(DOI) https://doi.org/10.1007/s13258-016-0439-x

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#2. Integrated analysis of omics data using microRNA-target mRNA network and PPI network reveals regulation of Gnai1 function in the spinal cord of Ews/Ewsr1 KO mice

Chai-Jin Lee, Hongryul Ahn, Sean Bong Lee, Jong-Yeon Shin, Woong-Yang Park, Jong-Il Kim, Junghee Lee, Hoon Ryu, Sun Kim

2016.08.12 · BMC Medical Genomics · 9(Suppl 1):33

(DOI) https://doi.org/10.1186/s12920-016-0195-4

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#1. A multifunctional protein EWS regulates the expression of Drosha and microRNAs

Kyung Young Kim, Yu Jin Hwang, Min-Kyung Jung, Jongseon Choe, Yunha Kim, Seolyong Kim, Chai-Jin Lee, Hongryul Ahn, Junghee Lee, Neil W. Kowall, Yun Kyung Kim, Jong-Il Kim, Sean Bong Lee, Hoon Ryu

2014.01.01 · Cell Death and Differentiation · 21(1):136-145

(DOI) https://doi.org/10.1038/cdd.2013.144

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