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Hojung Nam

Showing results (1-10 of 51) with videos related to

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BMC Bioinformatics|June 16, 2017
Prediction models for drug-induced hepatotoxicity by using weighted molecular fingerprintsEunyoung Kim, Hojung Nam
Journal of Cheminformatics|March 5, 2022
DeSIDE-DDI: interpretable prediction of drug-drug interactions using drug-induced gene expressionsEunyoung Kim, Hojung Nam
Journal of Cheminformatics|February 9, 2022
Sequence-based prediction of protein binding regions and drug-target interactionsIngoo Lee, Hojung Nam
BMC Bioinformatics|May 6, 2020
Prediction model construction of mouse stem cell pluripotency using CpG and non-CpG DNA methylation markersSoobok Joe, Hojung Nam
Plos One|February 14, 2017
SELF-BLM: Prediction of drug-target interactions via self-training SVMJongsoo Keum, Hojung Nam
Journal of Cheminformatics|December 2, 2025
DeepRNA-DTI: a deep learning approach for RNA-compound interaction prediction with binding site interpretabilityHaelee Bae, Hojung Nam
Biomedicines|January 21, 2023
GraphATT-DTA: Attention-Based Novel Representation of Interaction to Predict Drug-Target Binding AffinityHaelee Bae, Hojung Nam
BMC Medical Informatics and Decision Making|July 26, 2016
Prognostic factor analysis for breast cancer using gene expression profilesSoobok Joe, Hojung Nam
BMC Bioinformatics|June 14, 2018
Identification of drug-target interaction by a random walk with restart method on an interactome networkIngoo Lee, Hojung Nam
Computational Biology and Chemistry|June 13, 2020
hERG-Att: Self-attention-based deep neural network for predicting hERG blockersHyunho Kim, Hojung Nam
Pageof 6

Showing results (1-10 of 51) with videos related to

Sort By:
Pageof 6
BMC Bioinformatics|June 16, 2017
Prediction models for drug-induced hepatotoxicity by using weighted molecular fingerprintsEunyoung Kim, Hojung Nam
Journal of Cheminformatics|March 5, 2022
DeSIDE-DDI: interpretable prediction of drug-drug interactions using drug-induced gene expressionsEunyoung Kim, Hojung Nam
Journal of Cheminformatics|February 9, 2022
Sequence-based prediction of protein binding regions and drug-target interactionsIngoo Lee, Hojung Nam
BMC Bioinformatics|May 6, 2020
Prediction model construction of mouse stem cell pluripotency using CpG and non-CpG DNA methylation markersSoobok Joe, Hojung Nam
Plos One|February 14, 2017
SELF-BLM: Prediction of drug-target interactions via self-training SVMJongsoo Keum, Hojung Nam
Journal of Cheminformatics|December 2, 2025
DeepRNA-DTI: a deep learning approach for RNA-compound interaction prediction with binding site interpretabilityHaelee Bae, Hojung Nam
Biomedicines|January 21, 2023
GraphATT-DTA: Attention-Based Novel Representation of Interaction to Predict Drug-Target Binding AffinityHaelee Bae, Hojung Nam
BMC Medical Informatics and Decision Making|July 26, 2016
Prognostic factor analysis for breast cancer using gene expression profilesSoobok Joe, Hojung Nam
BMC Bioinformatics|June 14, 2018
Identification of drug-target interaction by a random walk with restart method on an interactome networkIngoo Lee, Hojung Nam
Computational Biology and Chemistry|June 13, 2020
hERG-Att: Self-attention-based deep neural network for predicting hERG blockersHyunho Kim, Hojung Nam
Pageof 6