T
Tao Huang
Researcher at Chinese Academy of Sciences
Publications - 325
Citations - 12593
Tao Huang is an academic researcher from Chinese Academy of Sciences. The author has contributed to research in topics: Medicine & Biology. The author has an hindex of 41, co-authored 248 publications receiving 10196 citations. Previous affiliations of Tao Huang include CAS-MPG Partner Institute for Computational Biology & Shanghai Mental Health Center.
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Journal ArticleDOI
SNHG8 Promotes the Progression of Epstein-Barr Virus-Associated Gastric Cancer via Sponging miR-512-5p and Targeting TRIM28.
Changyan Zou,Jinrong Liao,Dan Hu,Ying Su,Huamei Lin,Keyu Lin,Xingguan Luo,Xiongwei Zheng,Lurong Zhang,Tao Huang,Xiandong Lin +10 more
TL;DR: In this article, the role of SNHG8 in EBV-associated gastric cancer (EBVaGC) was investigated, and the relationship between the expression levels of small nucleolar RNA host genes and clinical outcome in 61 EBVaGC cases was analyzed.
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Identification of COVID-19-Specific Immune Markers Using a Machine Learning Method
TL;DR: Cell markers for differentiating COVID-19 from common inflammatory responses, non-COVID- 19 severe respiratory diseases, and healthy populations are identified based on single-cell profiling of the gene expression of six immune cell types by using Boruta and mRMR feature selection methods.
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Protein‐protein interaction networks as miners of biological discovery
TL;DR: Experimental methods for identifying PPI pairs, including yeast two‐hybrid (Y2H), mass spectrometry (MS), co‐localization, and co‐immunoprecipitation are reviewed, which aid biological discovery through identifying hub genes and dynamic changes in the network.
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Dietary selection of metabolically distinct microorganisms drives hydrogen metabolism in ruminants
Qiushuang Li,Rong Wang,Zhi Yuan Ma,Xiu Min Zhang,Jinzhen Jiao,Zhi-Gang Zhang,Emilio M. Ungerfeld,Kangle Yi,B. Zhang,Liang Long,Yun Long,Ye Tao,Tao Huang,Chris Greening,Zhiliang Tan,Min Wang +15 more
TL;DR: In this article , the authors profiled the composition, metabolic pathways, and activities of rumen microbiota in 24 beef cattle adapted to either fiber-rich or starch-rich diets.
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Inferring novel genes related to oral cancer with a network embedding method and one-class learning algorithms.
TL;DR: This study proposed three computational models for inferring novel OC-related genes, each of which adopted a one-class learning algorithm, which can provide a deep insight into features of validated OC- related genes.