MetaSNF在R中实现多模态数据聚类的元聚类分析。
metasnf: Meta Clustering with Similarity Network Fusion in R
- 基于相似性网络融合（SNF）的聚类结果再聚类，高效搜索多种聚类方案
- 通过上下文相关指标筛选出更具生物学意义的聚类解
- 适合生物医学亚型发现，支持聚类可视化与验证
MetaSNF 是一个 R 包，使用户能够应用元聚类方法，通过聚类自身生成的聚类结果来高效搜索广泛的聚类解决方案，该方法基于相似性网络融合（SNF）。SNF 是一种常用于生物医学亚型发现的多模态数据整合算法。该包还包含辅助聚类可视化、特征描述和验证的功能。此工具可帮助研究者识别由上下文特定效用引导的 SNF 派生聚类解，而非依赖于泛化质量度量。
原文摘要 · Abstract (English)
metasnf is an R package that enables users to apply meta clustering, a method for efficiently searching a broad space of cluster solutions by clustering the solutions themselves, to clustering workflows based on similarity network fusion (SNF). SNF is a multi-modal data integration algorithm commonly used for biomedical subtype discovery. The package also contains functions to assist with cluster visualization, characterization, and validation. This package can help researchers identify SNF-derived cluster solutions that are guided by context-specific utility over context-agnostic measures of quality.
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