Do Kyoon Kim
Orcid: 0000-0002-4592-9564
According to our database1,
Do Kyoon Kim
authored at least 34 papers
between 2010 and 2023.
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Bibliography
2023
Discovering comorbid diseases using an inter-disease interactivity network based on biobank-scale PheWAS data.
Bioinform., January, 2023
CoRR, 2023
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023
2022
Identifying genes associated with brain volumetric differences through tissue specific transcriptomic inference from GWAS summary data.
BMC Bioinform., 2022
Attention-based multiple instance learning with self-supervision to predict microsatellite instability in colorectal cancer from histology whole-slide images.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
Mediation Analysis and Mixed-Effects Models for the Identification of Stage-specific Imaging Genetics Patterns in Alzheimer's Disease.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
2021
HiG2Vec: hierarchical representations of Gene Ontology and genes in the Poincaré ball.
Bioinform., 2021
Multi-layered network-based pathway activity inference using directed random walks: application to predicting clinical outcomes in urologic cancer.
Bioinform., 2021
Proceedings of the Biocomputing 2021: Proceedings of the Pacific Symposium, 2021
Innovative methodological approaches for data integration to derive patterns across diverse, large-scale biomedical datasets.
Proceedings of the Biocomputing 2021: Proceedings of the Pacific Symposium, 2021
Interpretable temporal graph neural network for prognostic prediction of Alzheimer's disease using longitudinal neuroimaging data.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
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.
BMC Bioinform., 2020
BioData Min., 2020
Proceedings of the Pacific Symposium on Biocomputing 2020, 2020
2019
Proceedings of the Biocomputing 2019: Proceedings of the Pacific Symposium, 2019
2018
BioData Min., 2018
Codon bias among synonymous rare variants is associated with Alzheimer's disease imaging biomarker.
Proceedings of the Biocomputing 2018: Proceedings of the Pacific Symposium, 2018
2017
Knowledge-driven binning approach for rare variant association analysis: application to neuroimaging biomarkers in Alzheimer's disease.
BMC Medical Informatics Decis. Mak., 2017
Using knowledge-driven genomic interactions for multi-omics data analysis: metadimensional models for predicting clinical outcomes in ovarian carcinoma.
J. Am. Medical Informatics Assoc., 2017
2016
Identification of genetic interaction networks via an evolutionary algorithm evolved Bayesian network.
BioData Min., 2016
Biofilter as a Functional Annotation Pipeline for Common and Rare Copy Number Burden.
Proceedings of the Biocomputing 2016: Proceedings of the Pacific Symposium, 2016
2015
Predicting censored survival data based on the interactions between meta-dimensional omics data in breast cancer.
J. Biomed. Informatics, 2015
Knowledge boosting: a graph-based integration approach with multi-omics data and genomic knowledge for cancer clinical outcome prediction.
J. Am. Medical Informatics Assoc., 2015
Binning Somatic Mutations Based on Biological Knowledge for Predicting Survival: An Application in Renal Cell Carcinoma.
Proceedings of the Biocomputing 2015: Proceedings of the Pacific Symposium, 2015
2014
BioData Min., 2014
An integrated analysis of genome-wide DNA methylation and genetic variants underlying etoposide-induced cytotoxicity in European and African populations.
Proceedings of the Applications of Evolutionary Computation - 17th European Conference, 2014
2013
Research and applications: Extracting coordinated patterns of DNA methylation and gene expression in ovarian cancer.
J. Am. Medical Informatics Assoc., 2013
Eng. Appl. Artif. Intell., 2013
Relative impact of multi-layered genomic data on gene expression phenotypes in serous ovarian tumors.
BMC Syst. Biol., 2013
BMC Syst. Biol., 2013
ATHENA: Identifying interactions between different levels of genomic data associated with cancer clinical outcomes using grammatical evolution neural network.
BioData Min., 2013
A Graph-Based Integration of Multimodal Brain Imaging Data for the Detection of Early Mild Cognitive Impairment (E-MCI).
Proceedings of the Multimodal Brain Image Analysis - Third International Workshop, 2013
2012
Synergistic effect of different levels of genomic data for cancer clinical outcome prediction.
J. Biomed. Informatics, 2012
2010
TMA-TAB: A spreadsheet-based document for exchange of tissue microarray data based on the tissue microarray-object model.
J. Biomed. Informatics, 2010