Using partial least squares regression to analyze cellular response data.
Using partial least squares regression to analyze cellular response data.
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DOI：
10.1126/scisignal.2003849
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发表时间：
2013-04-16
影响因子：
7.3
通讯作者：
Kreeger PK
中科院分区：
文献类型：
--
作者：
Kreeger PK
本教学资源提供课堂讲稿、幻灯片和一份问题集，介绍偏最小二乘回归(PLSR)的数学概念和解释，是“系统生物学：哺乳动物信号网络”课程的一部分。PLSR是一种多变量回归技术，通常用于分析信号或转录数据与细胞行为之间的关系。
This Teaching Resource provides lecture notes, slides, and a problem set for a lecture introducing the mathematical concepts and interpretation of partial least squares regression (PLSR) and were part of a course entitled “Systems Biology: Mammalian Signaling Networks.” PLSR is a multivariate regression technique commonly applied to analyze relationships between signaling or transcriptional data and cellular behavior.