( en | de | ru )

 

Disambiguation of "Nam, Hojung"

Author of the publication

copydeleteadd this publication to your clipboard
Integrative Database for Exploring Compound Combinations of Natural Products for Medical Effects.

, , , , , , , , and . DTMBIO@CIKM, page 41. ACM, (2014)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Jin Nam

Beomseok Nam

Alexander Nam

Nam Ho

Ch ng-ae Nam

 

Other publications of authors with the same name

In Silico Simulation of Signal Cascades in Biomedical Networks Based on the Production Rule System., and . ISBRA, volume 10330 of Lecture Notes in Computer Science, page 356-361. Springer, (2017)Identification of temporal association rules from time-series microarray data sets., , and . BMC Bioinform., (2009)hERG-Att: Self-attention-based deep neural network for predicting hERG blockers., and . Comput. Biol. Chem., (2020)Identification of a Specific Base Sequence of Pathogenic E. Coli through a Genomic Analysis., and . DTMBIO@CIKM, page 25-28. ACM, (2014)A Systems Approach to Predict Oncometabolites via Context-Specific Genome-Scale Metabolic Networks., , , , , , and . PLoS Comput. Biol., (2014)Prediction of Compound-Target Interactions of Natural Products Using Large-scale Drug and Protein Information., , and . DTMBIO@CIKM, page 15. ACM, (2015)Drug repositioning of herbal compounds via a machine-learning approach., , and . BMC Bioinform., 20-S (10): 33-43 (2019)HiDRA: Hierarchical Network for Drug Response Prediction with Attention., and . J. Chem. Inf. Model., 61 (8): 3858-3867 (2021)BayeshERG: a robust, reliable and interpretable deep learning model for predicting hERG channel blockers., , , and . Briefings Bioinform., (2022)SoloDel: a probabilistic model for detecting low-frequent somatic deletions from unmatched sequencing data., , , , and . Bioinform., 31 (19): 3105-3113 (2015)