Department of Computer Science, University of British Columbia, Vancouver, BC, Canada.
School of Population and Public Health, University of British Columbia, Vancouver, BC, Canada.
Bioinformatics. 2019 Mar 15;35(6):1070-1072. doi: 10.1093/bioinformatics/bty722.
Adjutant is an open-source, interactive and R-based application to support mining PubMed for literature reviews. Given a PubMed-compatible search query, Adjutant downloads the relevant articles and allows the user to perform an unsupervised clustering analysis to identify data-driven topic clusters. Following clustering, users can also sample documents using different strategies to obtain a more manageable dataset for further analysis. Adjutant makes explicit trade-offs between speed and accuracy, which are modifiable by the user, such that a complete analysis of several thousand documents can take a few minutes. All analytic datasets generated by Adjutant are saved, allowing users to easily conduct other downstream analyses that Adjutant does not explicitly support.
Adjutant is implemented in R, using Shiny, and is available at https://github.com/amcrisan/Adjutant.
Supplementary data are available at Bioinformatics online.
Adjutant 是一个开源的、基于交互和 R 的应用程序，用于支持在 PubMed 中挖掘文献综述。给定一个与 PubMed 兼容的搜索查询，Adjutant 会下载相关文章，并允许用户执行无监督聚类分析，以识别数据驱动的主题聚类。聚类后，用户还可以使用不同的策略对文档进行抽样，以获得更易于管理的数据集进行进一步分析。Adjutant 在速度和准确性之间进行了明确的权衡，用户可以进行调整，例如，对几千篇文档进行完整分析可能只需要几分钟。Adjutant 生成的所有分析数据集都被保存，允许用户轻松进行其他下游分析，而这些分析并不被 Adjutant 明确支持。
Adjutant 是用 R 语言实现的，使用 Shiny，并可在 https://github.com/amcrisan/Adjutant 上获得。
补充数据可在 Bioinformatics 在线获得。
