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Donghyo Kim

Showing results (11-20 of 30) with videos related to

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Scientific Reports|January 16, 2020
Domain-mediated interactions for protein subfamily identificationHeetak Lee, Inhae Kim, Seong Kyu Han, et al.
Scientific Reports|August 14, 2019
Link clustering explains non-central and contextually essential genes in protein interaction networksInhae Kim, Heetak Lee, Kwanghwan Lee, et al.
Nucleic Acids Research|June 15, 2019
Evolutionary coupling analysis identifies the impact of disease-associated variants at less-conserved sitesDonghyo Kim, Seong Kyu Han, Kwanghwan Lee, et al.
Nucleic Acids Research|February 9, 2022
Evolutionary rewiring of regulatory networks contributes to phenotypic differences between human and mouse orthologous genesDoyeon Ha, Donghyo Kim, Inhae Kim, et al.
Nature Communications|October 31, 2020
Network-based machine learning in colorectal and bladder organoid models predicts anti-cancer drug efficacy in patientsJungHo Kong, Heetak Lee, Donghyo Kim, et al.
Frontiers in Genetics|August 29, 2025
Genetic analysis of non-syndromic peg lateralis using whole-exome sequencingJunglim Choi, Sungnam Kim, Hyunsoo Ahn, et al.
BMB Reports|October 26, 2022
Development of bioinformatics and multi-omics analyses in organoidsDoyeon Ha, JungHo Kong, Donghyo Kim, et al.
Metabolic Engineering|September 16, 2022
Enzyme activity engineering based on sequence co-evolution analysisDonghyo Kim, Myung Hyun Noh, Minhyuk Park, et al.
Science Advances|January 31, 2024
Cell-cell communication network-based interpretable machine learning predicts cancer patient response to immune checkpoint inhibitorsJuhun Lee, Donghyo Kim, JungHo Kong, et al.
Hepatology (Baltimore, Md.)|December 19, 2017
Capicua suppresses hepatocellular carcinoma progression by controlling the ETV4-MMP1 axisEunjeong Kim, Donghyo Kim, Jeon-Soo Lee, et al.
Pageof 3

Showing results (11-20 of 30) with videos related to

Sort By:
Pageof 3
Scientific Reports|January 16, 2020
Domain-mediated interactions for protein subfamily identificationHeetak Lee, Inhae Kim, Seong Kyu Han, et al.
Scientific Reports|August 14, 2019
Link clustering explains non-central and contextually essential genes in protein interaction networksInhae Kim, Heetak Lee, Kwanghwan Lee, et al.
Nucleic Acids Research|June 15, 2019
Evolutionary coupling analysis identifies the impact of disease-associated variants at less-conserved sitesDonghyo Kim, Seong Kyu Han, Kwanghwan Lee, et al.
Nucleic Acids Research|February 9, 2022
Evolutionary rewiring of regulatory networks contributes to phenotypic differences between human and mouse orthologous genesDoyeon Ha, Donghyo Kim, Inhae Kim, et al.
Nature Communications|October 31, 2020
Network-based machine learning in colorectal and bladder organoid models predicts anti-cancer drug efficacy in patientsJungHo Kong, Heetak Lee, Donghyo Kim, et al.
Frontiers in Genetics|August 29, 2025
Genetic analysis of non-syndromic peg lateralis using whole-exome sequencingJunglim Choi, Sungnam Kim, Hyunsoo Ahn, et al.
BMB Reports|October 26, 2022
Development of bioinformatics and multi-omics analyses in organoidsDoyeon Ha, JungHo Kong, Donghyo Kim, et al.
Metabolic Engineering|September 16, 2022
Enzyme activity engineering based on sequence co-evolution analysisDonghyo Kim, Myung Hyun Noh, Minhyuk Park, et al.
Science Advances|January 31, 2024
Cell-cell communication network-based interpretable machine learning predicts cancer patient response to immune checkpoint inhibitorsJuhun Lee, Donghyo Kim, JungHo Kong, et al.
Hepatology (Baltimore, Md.)|December 19, 2017
Capicua suppresses hepatocellular carcinoma progression by controlling the ETV4-MMP1 axisEunjeong Kim, Donghyo Kim, Jeon-Soo Lee, et al.
Pageof 3