Abstract
This Teaching Resource provides lecture notes, slides, and a problem set for a series of lectures from a course entitled "Systems Biology: Biomedical Modeling." The materials are a lecture introducing the mathematical concepts behind principal components analysis (PCA). The lecture describes how to handle large data sets with correlation methods and unsupervised clustering with this popular method of analysis, PCA.
Cite
CITATION STYLE
Clark, N. R., & Ma’ayan, A. (2011, September 13). Introduction to statistical methods to analyze large data sets: Principal components analysis. Science Signaling. https://doi.org/10.1126/scisignal.2001967
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.