TMA-TAB: A spreadsheet-based document for exchange of tissue microarray data based on the tissue microarray-object model. - Young Soo Song; Hye Won Lee; Yu Rang Park; Do Kyoon Kim; Jaehyun Sim; Hyunseok Peter Kang; Ju Han Kim (J. Biomed. Informatics, 2010)

Synergistic effect of different levels of genomic data for cancer clinical outcome prediction. - Do Kyoon Kim; Hyunjung Shin; Young Soo Song; Ju Han Kim (J. Biomed. Informatics, 2012)

A Graph-Based Integration of Multimodal Brain Imaging Data for the Detection of Early Mild Cognitive Impairment (E-MCI). - Dokyoon Kim; Sungeun Kim; Shannon L. Risacher; Li Shen 001; Marylyn D. Ritchie; Michael W. Weiner; Andrew J. Saykin; Kwangsik Nho (MBIA, 2013)

ATHENA: Identifying interactions between different levels of genomic data associated with cancer clinical outcomes using grammatical evolution neural network. - Dokyoon Kim; Ruowang Li; Scott M. Dudek; Marylyn D. Ritchie (BioData Min., 2013)

Intra-relation reconstruction from inter-relation: miRNA to gene expression. - Dokyoon Kim; Hyunjung Shin; Je-Gun Joung; Su-Yeon Lee; Ju Han Kim (BMC Syst. Biol., 2013)

Relative impact of multi-layered genomic data on gene expression phenotypes in serous ovarian tumors. - Kyung-Ah Sohn; Dokyoon Kim; Jaehyun Lim; Ju Han Kim (BMC Syst. Biol., 2013)

Robust predictive model for evaluating breast cancer survivability. - Kanghee Park; Amna Ali; Do Kyoon Kim; Yeolwoo An; Minkoo Kim; Hyunjung Shin (Eng. Appl. Artif. Intell., 2013)

Research and applications: Extracting coordinated patterns of DNA methylation and gene expression in ovarian cancer. - Je-Gun Joung; Do Kyoon Kim; Kyung-Hwa Kim; Ju Han Kim (J. Am. Medical Informatics Assoc., 2013)

An integrated analysis of genome-wide DNA methylation and genetic variants underlying etoposide-induced cytotoxicity in European and African populations. - Ruowang Li; Do Kyoon Kim; Scott M. Dudek; Marylyn D. Ritchie (EvoApplications, 2014)

Knowledge-driven genomic interactions: an application in ovarian cancer. - Do Kyoon Kim; Ruowang Li; Scott M. Dudek; Alex T. Frase; Sarah A. Pendergrass; Marylyn D. Ritchie (BioData Min., 2014)

Binning Somatic Mutations Based on Biological Knowledge for Predicting Survival: An Application in Renal Cell Carcinoma. - Dokyoon Kim; Ruowang Li; Scott M. Dudek; John R. Wallace; Marylyn D. Ritchie (Pacific Symposium on Biocomputing, 2015)

Knowledge boosting: a graph-based integration approach with multi-omics data and genomic knowledge for cancer clinical outcome prediction. - Dokyoon Kim; Je-Gun Joung; Kyung-Ah Sohn; Hyunjung Shin; Yu Rang Park; Marylyn D. Ritchie; Ju Han Kim (J. Am. Medical Informatics Assoc., 2015)

Predicting censored survival data based on the interactions between meta-dimensional omics data in breast cancer. - Dokyoon Kim; Ruowang Li; Scott M. Dudek; Marylyn D. Ritchie (J. Biomed. Informatics, 2015)

Biofilter as a Functional Annotation Pipeline for Common and Rare Copy Number Burden. - Dokyoon Kim; Anastasia Lucas; Joseph Glessner; Shefali S. Verma; Yukiko Bradford; Ruowang Li; Alex T. Frase; Hakon Hakonarson; Peggy L. Peissig; Murray H. Brilliant; Marylyn D. Ritchie (PSB, 2016)

Identification of genetic interaction networks via an evolutionary algorithm evolved Bayesian network. - Ruowang Li; Scott M. Dudek; Dokyoon Kim; Molly A. Hall; Yukiko Bradford; Peggy L. Peissig; Murray H. Brilliant; James G. Linneman; Catherine A. McCarty; Le Bao; Marylyn D. Ritchie (BioData Min., 2016)

Using knowledge-driven genomic interactions for multi-omics data analysis: metadimensional models for predicting clinical outcomes in ovarian carcinoma. - Dokyoon Kim; Ruowang Li; Anastasia Lucas; Shefali S. Verma; Scott M. Dudek; Marylyn D. Ritchie (J. Am. Medical Informatics Assoc., 2017)

Knowledge-driven binning approach for rare variant association analysis: application to neuroimaging biomarkers in Alzheimer's disease. - Dokyoon Kim; Anna Okula Basile; Lisa Bang; Emrin Horgusluoglu; SeungGeun Lee; Marylyn D. Ritchie; Andrew J. Saykin; Kwangsik Nho (BMC Medical Informatics Decis. Mak., 2017)

Codon bias among synonymous rare variants is associated with Alzheimer's disease imaging biomarker. - Jason E. Miller; Manu K. Shivakumar; Shannon L. Risacher; Andrew J. Saykin; SeungGeun Lee; Kwangsik Nho; Dokyoon Kim (PSB, 2018)

Collective feature selection to identify crucial epistatic variants. - Shefali S. Verma; Anastasia Lucas; Xinyuan Zhang 003; Yogasudha Veturi; Scott M. Dudek; Binglan Li; Ruowang Li; Ryan J. Urbanowicz; Jason H. Moore; Dokyoon Kim; Marylyn D. Ritchie (BioData Min., 2018)

Session Introduction. - Shefali Setia Verma; Anurag Verma; Dokyoon Kim; Christian Darabos (PSB, 2019)

Session Introduction. - Shilpa Nadimpalli Kobren; Brett K. Beaulieu-Jones; Christian Darabos; Dokyoon Kim; Anurag Verma (PSB, 2020)

Ideas for how informaticians can get involved with COVID-19 research. - Jason H. Moore; Ian Barnett; Mary Regina Boland; Yong Chen 016; George Demiris; Graciela Gonzalez-Hernandez; Daniel S. Herman; Blanca E. Himes; Rebecca A. Hubbard; Dokyoon Kim; Jeffrey S. Morris; Danielle L. Mowery; et al. (BioData Min., 2020)

Liver imaging features by convolutional neural network to predict the metachronous liver metastasis in stage I-III colorectal cancer patients based on preoperative abdominal CT scan. - Sangwoo Lee; Eun Kyung Choe; So Yeon Kim; Hua Sun Kim; Kyu Joo Park; Dokyoon Kim (BMC Bioinform., 2020)

Interpretable temporal graph neural network for prognostic prediction of Alzheimer's disease using longitudinal neuroimaging data. - Mansu Kim; Jaesik Kim; Jeffrey Qu; Heng Huang; Qi Long; Kyung-Ah Sohn; Dokyoon Kim; Li Shen 001 (BIBM, 2021)

Innovative methodological approaches for data integration to derive patterns across diverse, large-scale biomedical datasets. - Brett K. Beaulieu-Jones; Christian Darabos; Dokyoon Kim; Anurag Verma; Shilpa Nadimpalli Kobren (PSB, 2021)

Translational Bioinformatics: Integrating Electronic Health Record and Omics Data. - Dokyoon Kim; Ju Han Kim; Jason H. Moore (PSB, 2021)

Multi-layered network-based pathway activity inference using directed random walks: application to predicting clinical outcomes in urologic cancer. - So Yeon Kim; Eun Kyung Choe; Manu K. Shivakumar; Dokyoon Kim; Kyung-Ah Sohn (Bioinform., 2021)

HiG2Vec: hierarchical representations of Gene Ontology and genes in the Poincaré ball. - Jaesik Kim; Dokyoon Kim; Kyung-Ah Sohn (Bioinform., 2021)

Mediation Analysis and Mixed-Effects Models for the Identification of Stage-specific Imaging Genetics Patterns in Alzheimer's Disease. - Daniele Pala; Brian Lee; Xia Ning; Dokyoon Kim; Li Shen 001 (BIBM, 2022)

Attention-based multiple instance learning with self-supervision to predict microsatellite instability in colorectal cancer from histology whole-slide images. - Jacob S. Leiby; Jie Hao; Gyeong Hoon Kang; Ji Won Park; Dokyoon Kim (EMBC, 2022)

Identifying genes associated with brain volumetric differences through tissue specific transcriptomic inference from GWAS summary data. - Hung Mai; Jingxuan Bao; Paul M. Thompson; Dokyoon Kim; Li Shen 001 (BMC Bioinform., 2022)

Data-Driven Classification of Fatty Liver From 3D Unenhanced Abdominal CT Scans. - Jacob S. Leiby; Matthew E. Lee; Eun Kyung Choe; Dokyoon Kim (MLMI@MICCAI (2), 2023)

Modeling Path Importance for Effective Alzheimer's Disease Drug Repurposing. - Shunian Xiang; Patrick J. Lawrence; Bo Peng 009; Chienwei Chiang; Dokyoon Kim; Li Shen 001; Xia Ning (CoRR, 2023)

Discovering comorbid diseases using an inter-disease interactivity network based on biobank-scale PheWAS data. - Yonghyun Nam; Sang-Hyuk Jung; Jae-Seung Yun; Vivek Sriram; Pankhuri Singhal; Marta Byrska-Bishop; Anurag Verma; Hyunjung Shin; Woong-Yang Park; Hong-Hee Won; Dokyoon Kim (Bioinform., 2023)

NetPRS: SNP Interaction Aware Network-Based Polygenic Risk Score for Alzheimer's Disease. - Sunghong Park; Dong-Gi Lee; Juhyeon Kim; Doyoon Kim; Changhyung Hong; Sang Joon Son; Hyunwoong Roh; Kanghee Park; Dokyoon Kim; Hyunjung Shin; Hyun Goo Woo (BHI, 2024)

A machine learning approach using conditional normalizing flow to address extreme class imbalance problems in personal health records. - Yeongmin Kim; Wongyung Choi; Woojeong Choi; Grace Ko; Seonggyun Han; Hwan-Cheol Kim; Dokyoon Kim; Dong-Gi Lee; Dong Wook Shin; Younghee Lee (BioData Min., 2024)

Plasma protein-based identification of neuroimage-driven subtypes in mild cognitive impairment via protein-protein interaction aware explainable graph propagational network. - Sunghong Park; Doyoon Kim; Heirim Lee; Changhyung Hong; Sang Joon Son; Hyunwoong Roh; Dokyoon Kim; Yonghyun Nam; Dong-Gi Lee; Hyunjung Shin; Hyun Goo Woo (Comput. Biol. Medicine, 2024)

Non-invasive prediction of massive transfusion during surgery using intraoperative hemodynamic monitoring data. - Doyun Kwon; Young Mi Jung; Hyung-Chul Lee; Tae Kyong Kim; Kwangsoo Kim; Garam Lee; Dokyoon Kim; Seung-Bo Lee; Seung Mi Lee (J. Biomed. Informatics, 2024)

Multimodal Fusion-Based Lightweight Model for Enhanced Generalization in Drug-Target Interaction Prediction. - Jonghyun Lee; Dokyoon Kim; Dae Won Jun; Yun Kim (J. Chem. Inf. Model., 2024)

Frequency Domain Deep Learning With Non-Invasive Features for Intraoperative Hypotension Prediction. - Jeong-Hyeon Moon; Garam Lee; Seung Mi Lee; Jiho Ryu; Dokyoon Kim; Kyung-Ah Sohn (IEEE J. Biomed. Health Informatics, 2024)