- Machine learning based anti-cancer drug response prediction and search for predictor genes using cancer cell line gene expression
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Qiu K, Lee J, Kim H, Yoon S, Kang K
- KMID: 2514714
- Genomics Inform.
- 2021 Mar;19(1):e10.
- doi: 10.5808/gi.20076
Although many models have been proposed to accurately predict the response of drugs in cell lines recent years, understanding the genome related to drug response is also the key for... -
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- Exosomes Derived from Human Amniotic Mesenchymal Stem Cells Facilitate Diabetic Wound Healing by Angiogenesis and Enrich Multiple lncRNAs
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Fu S, Zhang H, Li X, Zhang Q, Guo C, Qiu K, Feng J, Liu X, Liu D
- KMID: 2541494
- Tissue Eng Regen Med.
- 2023 Apr;20(2):295-308.
- doi: 10.1007/s13770-022-00513-w
BACKGROUND: Diabetic wound healing remains a major challenge due to the impaired functionality of angiogenesis by persistent hyperglycemia. Mesenchymal stem cell exosomes are appropriate candidates for regulating the formation of... -
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