Publication
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Soo-Jin Kim, Jung-Woo Ha, Heebal Kim.
Genome-Wide Identification of Discriminative Genetic Variations in Beef and Dairy Cattle via an Information-Theoretic Approach.
Genes. 2020. DOI: 10.3390/genes11060678 [LINK]
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Sohyun Bang, DongAhn Yoo, Soo-Jin Kim, So Yun Jhang, Seoae Cho, and Heebal Kim.
Establishment and evaluation of prediction model for multiple disease classification based on gut microbial data. Scientific Reports.2019.
[LINK]
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Sol Moe Lee, Jae Wook Hyeon, Soo-Jin Kim, Heebal Kim, Ran Noh, Seonghan Kim, Yeong Seon Lee & Su Yeon Kim. Sensitivity and specificity evaluation of multiple neurodegenerative proteins for Creutzfeldt-Jakob disease diagnosis using a deep-learning approach. Prion. 2019. DOI: 10.1080/19336896.2019.1639482.
[LINK]
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Soo-Jin Kim, Jung-Woo Ha, Heebal Kim, Byoung-TakZhang. Bayesian evolutionary hypernetworks for interpretable learning from high-dimensional data. Applied Soft Computing. 2019.
[LINK]
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S.-J. Kim, J.-W. Ha, and B.-T. Zhang. Bayesian evolutionary hypergraph learning for predicting cancer clinical outcomes. 2014. Journal of Biomedical Informatics.
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S.-J. Kim, J.-W. Ha, and B.-T. Zhang. Constructing higher-order miRNA-mRNA interaction networks in prostate cancer via hypergraph-based learning. 2013. BMC Systems Biology.7:47.
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J.-G. Joung, S.-J. Kim, S.-Y. Shin, and B.-T. Zhang. A probabilistic coevolutionary biclustering algorithm for discovering coherent patterns in gene e-pression dataset. 2012. BMC Bioinformatics.13(Suppl 17):S12.
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S. Kim, S.-Y. Shin, I.-H. Lee, S.-J. Kim, R. Sriram, and B.-T. Zhang. PIE: an online prediction system for protein-protein interactions from text. 2008. Nucleic Acids Research.36, W411-W415.
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J.-G. Joung, K.-B. Hwang, J.-W. Nam, S.-J. Kim, and B.-T. Zhang.Discovery of microRNA-mRNA modules via population-based probabilistic learning. 2007. Bioinformatics. 23(9):1141-1147.
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