Publications

paper

Machine Learning For Health Care, 2021

An Interpretable Framework for Drug-Target Interaction with Gated Cross Attention

YeachanKim, Bonggun Shin

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paper

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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paper

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

Kyongmin Sarah Beck, Bomi Gil, Sae Jung Na, Ji Hyung Hong, Sang Hoon Chun, Ho Jung An, Jae Jun Kim, Soon Auck Hong, Bora Lee, Won Sang Shim, Sungsoo Park and Yoon Ho Ko

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paper

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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paper

ACM, 2021

Controlled molecule generator for optimizing multiple chemical properties

Bonggun Shin, Sungsoo Park, JinYeong Bak, Joyce C. Ho

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paper

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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paper

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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paper

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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paper

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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Poster

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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paper

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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paper

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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paper

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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patent

Application number 10-207302-000-00

METHOD AND SYSTEM FOR DETERMINING FEATURE INFLUENCE

Deargen Inc.

paper

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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paper

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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paper

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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paper

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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paper

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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