利用 EcoTyper 从大量数据中破译癌症微环境。
Deciphering the cancer microenvironment from bulk data with EcoTyper.
机构信息
Epithelial Biology Center, Vanderbilt University Medical Center, Nashville TN, USA; Department of Cell and Developmental Biology, Vanderbilt University School of Medicine, Nashville TN, USA.
Epithelial Biology Center, Vanderbilt University Medical Center, Nashville TN, USA; Program in Chemical and Physical Biology, Vanderbilt University School of Medicine, Nashville TN, USA.
出版信息
Cell. 2021 Oct 14;184(21):5306-5308. doi: 10.1016/j.cell.2021.09.028.
In this issue of Cell, Luca, Steen et al. develop the EcoTyper software to deconvolve tumor-microenvironment interactions from high volume bulk transcriptomics data. They demonstrate its effectiveness in improving predictions for tumor progression and patient prognosis for a variety of tumor types from multiple data sources.
在本期《细胞》中，Luca、Steen 等人开发了 EcoTyper 软件，以从大容量的 bulk 转录组学数据中推断肿瘤微环境的相互作用。他们证明了该软件在提高对多种肿瘤类型的肿瘤进展和患者预后的预测方面的有效性，这些预测来自多个数据源。
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