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首页> 外文期刊>Network Daily News >Researchers from Tsinghua University Report New Studies and Findings in the Area of Bioinformatics (Scgraph: a Graph Neural Network-based Approach To Automatically Identify Cell Types)
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Researchers from Tsinghua University Report New Studies and Findings in the Area of Bioinformatics (Scgraph: a Graph Neural Network-based Approach To Automatically Identify Cell Types)

机译:Tsinghua大学的研究人员报告了生物信息学领域的新研究和发现(SCGraph:一种基于图神经网络的方法,可自动识别细胞类型)

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By a News Reporter-Staff News Editor at Network Daily News – A new study on Information Technology - Bioinformatics is now available. According to news originating from Beijing, People’s Republic of China, by NewsRx correspondents, research stated, “Single-cell technologies play a crucial role in revolutionizing biological research over the past decade, which strengthens our understanding in cell differentiation, development and regulation from a single-cell level perspective. Single-cell RNA sequencing (scRNA-seq) is one of the most common single cell technologies, which enables probing transcriptional states in thousands of cells in one experiment.”
机译:由Network Daily News的新闻记者播放器新闻编辑 - 一项有关信息技术的新研究 - 生物信息学现已获得。 根据NewsRX通讯员的中华人民共和国北京的新闻,研究指出:“单细胞技术在过去十年中革新生物学研究中起着至关重要的作用,这加强了我们从细胞差异,开发和调节中的理解,从 单细胞级别的观点。 单细胞RNA测序(SCRNA-SEQ)是最常见的单细胞技术之一,它可以在一个实验中探测成千上万个细胞中的转录态。”

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