Publications

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

Publication

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

Publication

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

Publication

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

Publication

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

Publication

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

Publication

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

Publication

patent

Application number 10-207302-000-00

METHOD AND SYSTEM FOR DETERMINING FEATURE INFLUENCE

Deargen Inc.

Publication

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

Publication

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

Publication Review Demo

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

Publication Review

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

Publication Review

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

Publication