摘要
一位新闻记者-机器人和机器学习的工作人员新闻编辑每日新闻-诊断和筛选的新研究-癌症生物标志物是一篇报道的主题。根据NewsRx记者从武汉发来的新闻报道，ReSearch指出：“癌症是世界范围内的主要死亡原因，识别能够预测癌症患者长期生存的生物标志物和亚型对于癌症患者的风险分层、治疗和预后至关重要。然而，目前还没有标准化的工具来探索癌症生物标志物或亚型。”我们的新闻编辑引用了武汉大学中南医院的研究，“在这项研究中，我们引入了癌症标志物和亚型P rofiler(CBioProfiler)，”一种Web服务器和独立应用程序，包括用于分析癌症生物标志物和亚型的TW O管道。癌症生物标志物P Ipeline包括五个模块，用于使用多种生存相关机器学习算法识别和注释癌症生存相关的生物标志物。癌症亚型管道包括三个模块，用于数据预处理、使用多种无监督机器学习方法的子PE识别、CBioProfiler还包括CuratedCancerPrognosisData，这是一个新的R包，整合了268项研究的回顾和策划的基因表达和临床数据。这些研究涵盖43个常见的血液和实体瘤，并收集了47686个临床样本。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Diagnostics and Screen ing - Cancer Biomarkers is the subject of a report. According to news reporting originating from Wuhan, People's Republic of China, by NewsRx correspondents, re search stated, "Cancer is a leading cause of death worldwide, and the identifica tion of biomarkers and subtypes that can predict the long-term survival of cance r patients is essential for their risk stratification, treatment, and prognosis. However, there are currently no standardized tools for exploring cancer biomark ers or subtypes." Our news editors obtained a quote from the research from the Zhongnan Hospital o f Wuhan University, "In this study, we introduced Cancer Biomarker and Subtype P rofiler (CBioProfiler), a web server and standalone application that includes tw o pipelines for analyzing cancer biomarkers and subtypes. The cancer biomarker p ipeline consists of five modules for identifying and annotating cancer survival- related biomarkers using multiple survival-related machine learning algorithms. The cancer subtype pipeline includes three modules for data preprocessing, subty pe identification using multiple unsupervised machine learning methods, as well as subtype evaluation and validation. CBioProfiler also includes CuratedCancerPr ognosisData, a novel R package that integrates reviewed and curated gene express ion and clinical data from 268 studies. These studies cover 43 common blood and solid tumors and draw upon 47,686 clinical samples."
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