Publications

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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