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KDDANet-a novel computational framework for systematic uncovering hidden gene interactions underlying known drug-disease associations
View ORCID ProfileHua Yu, Lu Lu, Ming Chen, Hu Li, Chen Li, Jin Zhang
doi: https://doi.org/10.1101/749762
Hua Yu
1Center for Stem Cell and Regenerative Medicine & The First Affiliated Hospital, Department of Basic Medical Sciences, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China. Institute of Hematology, Zhejiang University, Hangzhou, Zhejiang, China
Lu Lu
2Department of Human Genetics, Zhejiang University School of Medicine, Hangzhou, China
Ming Chen
3College of Life Sciences, Zhejiang University, Hangzhou, China
Hu Li
4Center for Individualized Medicine, Department of Molecular Pharmacology & Experimental Therapeutics, Mayo Clinic, Rochester, MN, USA
Chen Li
2Department of Human Genetics, Zhejiang University School of Medicine, Hangzhou, China
Jin Zhang
1Center for Stem Cell and Regenerative Medicine & The First Affiliated Hospital, Department of Basic Medical Sciences, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China. Institute of Hematology, Zhejiang University, Hangzhou, Zhejiang, China
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Posted August 29, 2019.
KDDANet-a novel computational framework for systematic uncovering hidden gene interactions underlying known drug-disease associations
Hua Yu, Lu Lu, Ming Chen, Hu Li, Chen Li, Jin Zhang
bioRxiv 749762; doi: https://doi.org/10.1101/749762
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