A Hybrid Cancer Prognosis System Based on Semi-Supervised Learning and Decision Trees. - Yonghyun Nam; Hyunjung Shin (ICONIP (2), 2013)

CLASH: Complementary Linkage with Anchoring and Scoring for Heterogeneous biomolecular and clinical data. - Yonghyun Nam; Myungjun Kim; Kyungwon Lee; Hyunjung Shin (BMC Medical Informatics Decis. Mak., 2016)

An inference method from multi-layered structure of biomedical data. - Myungjun Kim; Yonghyun Nam; Hyunjung Shin (BMC Medical Informatics Decis. Mak., 2017)

Cascade recurring deep networks for audible range prediction. - Yonghyun Nam; Oak-Sung Choo; Yu-Ri Lee; Yun-Hoon Choung; Hyunjung Shin (BMC Medical Informatics Decis. Mak., 2017)

Disease gene identification based on generic and disease-specific genome networks. - Yonghyun Nam; Jong Ho Jhee; Junhee Cho; Ji-Hyun Lee; Hyunjung Shin (Bioinform., 2019)

Drug repurposing with network reinforcement. - Yonghyun Nam; Myungjun Kim; Hang-Seok Chang; Hyunjung Shin (BMC Bioinform., 2019)

The translational network for metabolic disease - from protein interaction to disease co-occurrence. - Yonghyun Nam; Dong-Gi Lee; Sunjoo Bang; Ju Han Kim; Jae-Hoon Kim 004; Hyunjung Shin (BMC Bioinform., 2019)

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)

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)

In-house data adaptation to public data: Multisite MRI harmonization to predict Alzheimer's disease conversion. - Sunghong Park; Sang Joon Son; Kanghee Park; Yonghyun Nam; Hyunjung Shin (Expert Syst. Appl., 2024)

MAESTRO: Masked Encoding Set Transformer with Self-Distillation. - Matthew Eric Lee; Jaesik Kim; Matei Ionita; Jonghyun Lee; Michelle L. McKeague; Yonghyun Nam; Irene Khavin; Yidi Huang; Victoria Fang; Sokratis Apostolidis; Divij Mathew; Shwetank; et al. (ICLR, 2025)