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Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|January 19, 2010
Prediction of extracellular matrix proteins based on distinctive sequence and domain characteristicsJuhyun Jung, Taewoo Ryu, Yongdeuk Hwang, et al.
Bioinformatics (Oxford, England)|December 29, 2022
Large-scale prediction of adverse drug reactions-related proteins with network embeddingJaesub Park, Sangyeon Lee, Kwansoo Kim, et al.
Biochemical and Biophysical Research Communications|December 3, 2015
Predicting unintended effects of drugs based on off-target tissue effectsDocyong Kim, Jaehyun Lee, Sunjae Lee, et al.
The Journal of the Acoustical Society of America|July 2, 2018
Development of a clarity parameter using a time-varying loudness modelDoheon Lee, Jasper van Dorp Schuitman, Xiaojun Qiu, et al.
IEEE Transactions on Neural Networks|February 7, 2007
Density-induced support vector data descriptionKiyoung Lee, Dae-Won Kim, Kwang H Lee, et al.
Scientific Data|May 26, 2022
Plant phenotype relationship corpus for biomedical relationships between plants and phenotypesHyejin Cho, Baeksoo Kim, Wonjun Choi, et al.
Computational and Structural Biotechnology Journal|November 18, 2024
NaCTR: Natural product-derived compound-based drug discovery pipeline from traditional oriental medicine by search space reductionSeunghwan Jung, Kwansoo Kim, Seunghyun Wang, et al.
Bioinformatics (Oxford, England)|September 29, 2009
Combining tissue transcriptomics and urine metabolomics for breast cancer biomarker identificationHojung Nam, Bong Chul Chung, Younghoon Kim, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|March 2, 2016
Predicting the Absorption Potential of Chemical Compounds Through a Deep Learning ApproachMoonshik Shin, Donjin Jang, Hojung Nam, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 16, 2007
Speed estimation from a tri-axial accelerometer using neural networksYoonseon Song, Seungchul Shin, Seunghwan Kim, et al.
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