Benchmarking joint multi-omics dimensionality reduction approaches for cancer study

biorxiv(2020)

引用 2|浏览2
暂无评分
摘要
From these in-depth comparisons, we observed that intNMF performs best in clustering, while MCIA offers a consistent and effective behavior across many contexts. The full code of this benchmark is implemented in a Jupyter notebook - multi-omics mix (momix) - to foster reproducibility, and support data producers, users and future developers.
更多
查看译文
关键词
Matrix factorization,Dimensionality reduction,Data integration,Multi-omics,Cancer,Single-Cell
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要