估计阅读时长: 8 分钟https://github.com/xieguigang/sciBASIC 在进行无监督聚类分析的方法之中,我们在算法代码之中一般会遇到求解与某一个样本数据点最相似的数据点的计算过程。对于这个计算过程,一般而言我们是基于欧几里得距离来完成的。 Order by Date Name Attachments Visual a KDtree Search • 274 kB • 516 […]
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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…