Author

Chang-Eop Kim

Gachon UniversityORCID 0000-0001-8281-9148Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 1 Research Focus:drug response / drug discovery· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Choong-Yeol LeeiD· 1 shared Won-Yung LeeiD· 1 shared

Activity by Year

2021-2021 · peak 1/yr

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2 top collaborators · 1 mutual co-author link

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1 shared paperBioinformatics

Choong-Yeol LeeORCID

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1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintMar 18, 2021

Predicting activatory and inhibitory drug-target interactions based on mol2vec and genetically perturbed transcriptomes

Won-Yung Lee, Choong-Yeol Lee, Chang-Eop Kim

AI-DTI predicts activatory and inhibitory drug-target interactions using mol2vec and genetically perturbed transcriptomes, outperforming existing methods and rediscovering known COVID-19 drug interactions.

5 citations

bulk RNA-seqmachine learning (classical)

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