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Biology Direct
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May 1, 2019
Robust pathway-based multi-omics data integration using directed random walks for survival prediction in multiple cancer studies
So Yeon Kim, Hyun-Hwan Jeong, Jaesik Kim, et al.
NPJ Digital Medicine
|
April 11, 2025
Vision transformer based interpretable metabolic syndrome classification using retinal Images
Tae Kwan Lee, So Yeon Kim, Hyuk Jin Choi, et al.
Methods (San Diego, Calif.)
|
February 25, 2014
Incorporating inter-relationships between different levels of genomic data into cancer clinical outcome prediction
Dokyoon Kim, Hyunjung Shin, Kyung-Ah Sohn, et al.
IEEE Journal of Biomedical and Health Informatics
|
May 20, 2024
Frequency Domain Deep Learning With Non-Invasive Features for Intraoperative Hypotension Prediction
Jeong-Hyeon Moon, Garam Lee, Seung Mi Lee, et al.
Proceedings. IEEE International Conference on Bioinformatics and Biomedicine
|
March 18, 2022
Interpretable temporal graph neural network for prognostic prediction of Alzheimer's disease using longitudinal neuroimaging data
Mansu Kim, Jaesik Kim, Jeffrey Qu, et al.
BMC Medical Genomics
|
June 8, 2017
Integrative information theoretic network analysis for genome-wide association study of aspirin exacerbated respiratory disease in Korean population
Sehee Wang, Hyun-Hwan Jeong, Dokyoon Kim, et al.
Plos One
|
July 17, 2019
Assessment of intratumoral heterogeneity with mutations and gene expression profiles
Ji-Yong Sung, Hyun-Tae Shin, Kyung-Ah Sohn, et al.
Bioinformatics (Oxford, England)
|
March 1, 2015
hiHMM: Bayesian non-parametric joint inference of chromatin state maps
Kyung-Ah Sohn, Joshua W K Ho, Djordje Djordjevic, et al.
Journal of the American Medical Informatics Association : JAMIA
|
July 9, 2014
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, et al.
Frontiers in Aging Neuroscience
|
September 7, 2018
Biological Brain Age Prediction Using Cortical Thickness Data: A Large Scale Cohort Study
Habtamu M Aycheh, Joon-Kyung Seong, Jeong-Hyeon Shin, et al.
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of 5
Search research articles
Search
Showing results (31-40 of 43) with videos related to
Sort By:
Page
of 5
Biology Direct
|
May 1, 2019
Robust pathway-based multi-omics data integration using directed random walks for survival prediction in multiple cancer studies
So Yeon Kim, Hyun-Hwan Jeong, Jaesik Kim, et al.
NPJ Digital Medicine
|
April 11, 2025
Vision transformer based interpretable metabolic syndrome classification using retinal Images
Tae Kwan Lee, So Yeon Kim, Hyuk Jin Choi, et al.
Methods (San Diego, Calif.)
|
February 25, 2014
Incorporating inter-relationships between different levels of genomic data into cancer clinical outcome prediction
Dokyoon Kim, Hyunjung Shin, Kyung-Ah Sohn, et al.
IEEE Journal of Biomedical and Health Informatics
|
May 20, 2024
Frequency Domain Deep Learning With Non-Invasive Features for Intraoperative Hypotension Prediction
Jeong-Hyeon Moon, Garam Lee, Seung Mi Lee, et al.
Proceedings. IEEE International Conference on Bioinformatics and Biomedicine
|
March 18, 2022
Interpretable temporal graph neural network for prognostic prediction of Alzheimer's disease using longitudinal neuroimaging data
Mansu Kim, Jaesik Kim, Jeffrey Qu, et al.
BMC Medical Genomics
|
June 8, 2017
Integrative information theoretic network analysis for genome-wide association study of aspirin exacerbated respiratory disease in Korean population
Sehee Wang, Hyun-Hwan Jeong, Dokyoon Kim, et al.
Plos One
|
July 17, 2019
Assessment of intratumoral heterogeneity with mutations and gene expression profiles
Ji-Yong Sung, Hyun-Tae Shin, Kyung-Ah Sohn, et al.
Bioinformatics (Oxford, England)
|
March 1, 2015
hiHMM: Bayesian non-parametric joint inference of chromatin state maps
Kyung-Ah Sohn, Joshua W K Ho, Djordje Djordjevic, et al.
Journal of the American Medical Informatics Association : JAMIA
|
July 9, 2014
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, et al.
Frontiers in Aging Neuroscience
|
September 7, 2018
Biological Brain Age Prediction Using Cortical Thickness Data: A Large Scale Cohort Study
Habtamu M Aycheh, Joon-Kyung Seong, Jeong-Hyeon Shin, et al.
Page
of 5