估计阅读时长: 10分钟https://github.com/xieguigang/ms-imaging Order by Date Name Attachments HR2MSI_mouse_urinary_bladder_S096_RGB • 7 MB • 456 click 2021年11月13日peerj-cs-07-585 • 16 […]
Could you provide some practical examples of how this R package is used? For instance, how does it perform when…
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其实，你不应该直接跑原始表达矩阵的。因为在原始表达矩阵中，基因的特征数量可能会非常多，做随机森林或者SVM建模就会会非常久。应该先用limma程序包对矩阵筛选一次，例如用log2fc绝对值按照阈值cutoff筛选一次，或者对log2fc绝对值排序后取前1000个特征，得到小一些feature集合的矩阵后再使用这个程序包做机器学习分析。
Thanks for taking the time to create this.
就是随便看看！
c⌒っﾟДﾟ)っ救命啊，谢老师，我试了下用这个程序包直接跑转录组矩阵，跑了好久都没有结果
Could you provide some practical examples of how this R package is used? For instance, how does it perform when…