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AMIA Joint Summits on Translational Science Proceedings. AMIA Joint Summits on Translational Science
|
June 19, 2026
Quantifying the Independent and Combined Contributions of Clinical, Genetic, Proteomic, and Metabolomic Signals to ASCVD Prediction
Yonghyun Nam, Dokyoon Kim
BMC Medical Genomics
|
August 1, 2014
A coupling approach of a predictor and a descriptor for breast cancer prognosis
Hyunjung Shin, Yonghyun Nam
BMC Medical Informatics and Decision Making
|
May 26, 2017
An inference method from multi-layered structure of biomedical data
Myungjun Kim, Yonghyun Nam, Hyunjung Shin
BMC Medical Informatics and Decision Making
|
July 26, 2016
CLASH: Complementary Linkage with Anchoring and Scoring for Heterogeneous biomolecular and clinical data
Yonghyun Nam, Myungjun Kim, Kyungwon Lee, et al.
BMC Bioinformatics
|
July 25, 2019
Drug repurposing with network reinforcement
Yonghyun Nam, Myungjun Kim, Hang-Seok Chang, et al.
Medrxiv : the Preprint Server for Health Sciences
|
June 9, 2023
Uncovering genetic associations in the human diseasome using an endophenotype-augmented disease network
Jakob Woerner, Vivek Sriram, Yonghyun Nam, et al.
Bioinformatics (Oxford, England)
|
March 25, 2024
Uncovering genetic associations in the human diseasome using an endophenotype-augmented disease network
Jakob Woerner, Vivek Sriram, Yonghyun Nam, et al.
Bioinformatics (Oxford, England)
|
October 19, 2018
Disease gene identification based on generic and disease-specific genome networks
Yonghyun Nam, Jong Ho Jhee, Junhee Cho, et al.
BMC Medical Informatics and Decision Making
|
May 26, 2017
Cascade recurring deep networks for audible range prediction
Yonghyun Nam, Oak-Sung Choo, Yu-Ri Lee, et al.
BMC Bioinformatics
|
November 15, 2019
The translational network for metabolic disease - from protein interaction to disease co-occurrence
Yonghyun Nam, Dong-Gi Lee, Sunjoo Bang, et al.
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of 4
Search research articles
Search
Showing results (1-10 of 33) with videos related to
Sort By:
Page
of 4
AMIA Joint Summits on Translational Science Proceedings. AMIA Joint Summits on Translational Science
|
June 19, 2026
Quantifying the Independent and Combined Contributions of Clinical, Genetic, Proteomic, and Metabolomic Signals to ASCVD Prediction
Yonghyun Nam, Dokyoon Kim
BMC Medical Genomics
|
August 1, 2014
A coupling approach of a predictor and a descriptor for breast cancer prognosis
Hyunjung Shin, Yonghyun Nam
BMC Medical Informatics and Decision Making
|
May 26, 2017
An inference method from multi-layered structure of biomedical data
Myungjun Kim, Yonghyun Nam, Hyunjung Shin
BMC Medical Informatics and Decision Making
|
July 26, 2016
CLASH: Complementary Linkage with Anchoring and Scoring for Heterogeneous biomolecular and clinical data
Yonghyun Nam, Myungjun Kim, Kyungwon Lee, et al.
BMC Bioinformatics
|
July 25, 2019
Drug repurposing with network reinforcement
Yonghyun Nam, Myungjun Kim, Hang-Seok Chang, et al.
Medrxiv : the Preprint Server for Health Sciences
|
June 9, 2023
Uncovering genetic associations in the human diseasome using an endophenotype-augmented disease network
Jakob Woerner, Vivek Sriram, Yonghyun Nam, et al.
Bioinformatics (Oxford, England)
|
March 25, 2024
Uncovering genetic associations in the human diseasome using an endophenotype-augmented disease network
Jakob Woerner, Vivek Sriram, Yonghyun Nam, et al.
Bioinformatics (Oxford, England)
|
October 19, 2018
Disease gene identification based on generic and disease-specific genome networks
Yonghyun Nam, Jong Ho Jhee, Junhee Cho, et al.
BMC Medical Informatics and Decision Making
|
May 26, 2017
Cascade recurring deep networks for audible range prediction
Yonghyun Nam, Oak-Sung Choo, Yu-Ri Lee, et al.
BMC Bioinformatics
|
November 15, 2019
The translational network for metabolic disease - from protein interaction to disease co-occurrence
Yonghyun Nam, Dong-Gi Lee, Sunjoo Bang, et al.
Page
of 4