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Yifei Dai
Researcher at Tsinghua University
Publications - 5
Citations - 143
Yifei Dai is an academic researcher from Tsinghua University. The author has contributed to research in topics: Survival analysis & Cancer. The author has an hindex of 3, co-authored 5 publications receiving 19 citations. Previous affiliations of Yifei Dai include Chengdu University of Traditional Chinese Medicine.
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An immune-related gene signature for predicting survival and immunotherapy efficacy in hepatocellular carcinoma
TL;DR: The currently established immune-related gene-based prognostic index (IRGPI) can accurately predict survival, reflect the immune microenvironment, and predict the efficacy of immunotherapy among HCC patients more accurately than published biomarkers.
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Guizhi Fuling Decoction inhibiting the PI3K and MAPK pathways in breast cancer cells revealed by HTS2 technology and systems pharmacology.
TL;DR: Wang et al. as discussed by the authors used high throughput sequencing-based high throughput screening (HTS2) assay and bioinformatic technologies to investigate the molecular mechanisms of Guizhi Fuling Decoction (GFD) in treating breast cancer.
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A comprehensive evaluation of connectivity methods for L1000 data.
TL;DR: Six popular published methods for the prediction performance of drug-drug relationships based on the partial area under the receiver operating characteristic (ROC) curve are evaluated and ZhangScore was generally superior to other methods and exhibited the highest accuracy at the gene signature sizes ranging from 10 to 200.
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A large-scale transcriptional study reveals inhibition of COVID-19 related cytokine storm by traditional chinese medicines.
Yifei Dai,Yifei Dai,Weijie Qiang,Yu Gui,Xue Tan,Tianli Pei,Kequan Lin,Siwei Cai,Liang Sun,Guochen Ning,Jianxun Wang,Guo Hongyan,Sun Yimin,Jing Cheng,Lan Xie,Xun Lan,Dong Wang +16 more
TL;DR: Wang et al. as mentioned in this paper evaluated the effects of 578 herbs and all 338 reported anti-COVID-19 TCM formulae on cytokine storm-related signaling pathways and identified the key targets of the relevant pathways and potential active ingredients in these herbs.
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Identification and validation of a prognostic signature and combination drug therapy for immunotherapy of head and neck squamous cell carcinoma
TL;DR: In this paper, a prognostic signature composed of 13 immune-related genes (IRGs) was constructed by comprehensively computational analyses of hundreds of head and neck squamous cell carcinoma (HNSC) samples.