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Drug–Target Interaction Deep Learning-Based Model Identifies the Flavonoid Troxerutin as a Candidate TRPV1 Antagonist
Bo Ram Beck, Hyunjun Yoon, Gahee Bahn, Young-heon Kim
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applied sciences, 2022
A Brief Review of Machine Learning-Based Bioactive Compound Research
Bo Ram Beck, Keunsoo Kang
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AAAI, 2022
Improving Evidential Deep Learning via Multi-task Learning
Dongpin Oh, Bonggun Shin
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Machine Learning For Health Care, 2021
An Interpretable Framework for Drug-Target Interaction with Gated Cross Attention
YeachanKim, Bonggun Shin
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Clinical Medicine, 2021
Prediction of Diabetic Sensorimotor Polyneuropathy Using Machine Learning Techniques
Dae Youp Shin, Bora Lee, Won Sang Yoo, Joon Won Park and Jung Keun Hyun
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Frontiers in Oncology, 2021
DeepCUBIT: Predicting Lymphovascular Invasion or Pathological Lymph Node Involvement of Clinical T1 Stage Non-Small Cell Lung Cancer on Chest CT Scan Using Deep Cubical Nodule Transfer Learning Algorithm
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Cancers, 2021
DeepRePath: Identifying the Prognostic Features of Early-Stage Lung Adenocarcinoma Using Multi-Scale Pathology Images and Deep Convolutional Neural Networks
Won Sang Shim, Kwangil Yim, Tae-Jung Kim,Yeoun Eun Sung, Gyeongyun Lee, Ji Hyung Hong, Sang Hoon Chun, Seoree Kim, Ho Jung An, Sae Jung Na, Jae Jun Kim, Mi Hyoung Moon, Seok Whan Moon, Sungsoo Park, Soon Auck Hong, Yoon Ho Ko
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ACM, 2021
Controlled molecule generator for optimizing multiple chemical properties
Bonggun Shin, Sungsoo Park, JinYeong Bak, Joyce C. Ho
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Viruses, 2020
Target-Centered Drug Repurposing Predictions of Human 'ACE2' and 'TMPRSS2' Interacting Approved Drugs for Coronavirus Disease 2019 (COVID-19) Treatment
Yoonjung Choi, Bonggun Shin, Keunsoo Kang, Sungsoo Park, Bo Ram Beck
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Molecular Sciences, 2020
Predicting FOXM1-Mediated Gene Regulation through the Analysis of Genome-Wide FOXM1 Binding Sites in MCF-7, K562, SK-N-SH, GM12878 and ECC-1 Cell Lines
Keunsoo Kang, Yoonjung Choi, Hoo Hyun Kim, Kyung Hyun Yoo,Sungryul Yu
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Cell Systems, 2020
Community Assessment of the Predictability of Cancer Protein and Phosphoprotein Levels from Genomics and Transcriptomics
Mi Yang, Francesca Petralia, Zhi Li, Hongyang Li, Weiping Ma, Xiaoyu Song, Sunkyu Kim, Heewon Lee, Han Yu, Bora Lee, Seohui Bae, Eunji Heo, Jan Kaczmarczyk, Piotr Stępniak, Michał Warchoł, Thomas Yu, Anna P. Calinawan, Paul C. Boutros, Samuel H. Payne, Boris Reva, NCI-CPTAC-DREAM Consortium, Emily Boja, Henry Rodriguez, Gustavo Stolovitzky, Yuanfang Guan, Jaewoo Kang, Pei Wang, David Fenyö, Julio Saez-Rodriguez
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Cancers, 2020
Identification of Novel microRNA Prognostic Markers Using Cascaded Wx, a Neural Network-Based Framework, in Lung Adenocarcinoma Patients
Jeong Seon Kim, Sang Hoon Chun, Sungsoo Park, Sieun Lee, Sae Eun Kim, Ji Hyung Hong, Keunsoo Kang, Yoon Ho Ko, Young-Ho Ahn
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Clinical Cancer Research, 2020
Molecular optimization of phase III trial failed anticancer drugs using target affinity and toxicity-centered multiple properties reinforcement learning
Sungsoo Park, Yoon Ho Ko, Bora Lee, Bonggun Shin and Bo Ram Beck
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Viruses, 2020
Tiotropium Is Predicted to Be a Promising Drug for COVID-19 Through Transcriptome-Based Comprehensive Molecular Pathway Analysis
Keunsoo Kang, Hoo Hyun Kim, Yoonjung Choi
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Computational and Structural Biotechnology Journal, 2020
Predicting commercially available antiviral drugs that may act on the novel coronavirus (SARS-CoV-2) through a drug-target interaction deep learning model
Bo Ram Beck, Bong gun Shin, Yoonjung Choi, Sungsoo Park, Keunsoo Kang
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Nature Scientific Report, 2019
DeepBTS: Prediction of Recurrence-free Survival of Non-small Cell Lung Cancer Using a Time-binned Deep Neural Network
Bora Lee, Sang Hoon Chun, Ji Hyung Hong, In Sook Woo, Seoree Kim, Joon Won Jeong, Jae Jun Kim, Hyun Woo Lee, Sae Jung Na, Kyongmin Sarah Beck, Bomi Gil, Sungsoo Park, Ho Jung An & Yoon Ho Ko
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Application number 10-207302-000-00
METHOD AND SYSTEM FOR DETERMINING FEATURE INFLUENCE
Deargen Inc.
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Journal of Clinical Medicine, 2019
Expression of EEF1A1 Is Associated with Prognosis of Patients with Colon Adenocarcinoma
Eun kyo Joung, Jiyoung Kim,Nara Yoon, Lee-so Maeng, Ji Hoon Kim, Sungsoo Park, Keunsoo Kang, Jeong Seon Kim, Young Ho Ahn,Yoon Ho Ko, Jae Ho Byun, Ji Hyung Hong
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Journal of Machine Learning Research, 2019
Self-Attention Based Molecule Representation for Predicting Drug-Target Interaction
Bonggun Shin, Sungsoo Park, Keunsoo Kang, Joyce C. Ho
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Nature Scientific Report, 2019
Wx: a neural network-based feature selection algorithm for next-generation sequencing data
Bonggun Shin, Sungsoo Park, Keunsoo Kang, Joyce C. Ho
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Frontiers in Genetics, 2019
Cascaded Wx: a novel prognosis-related feature selection framework in human lung adenocarcinoma transcriptomes
Bonggun Shin, Sungsoo Park, Ji Hyung Hong, Ho Jung An, Sang Hoon Chun, Kilsoo Kang, Young-Ho Ahn, Yoon Ho Ko, Keunsoo Kang
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Nucleic Acids Research, 2018
Octopus-toolkit: a workflow to automate mining of public epigenomic and transcriptomic next-generation sequencing data
Keunsoo Kang, Taemook Kim, Hogyu David Seo, Lothar Hennighausen, Daeyoup Lee
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