title: Introduction to statistical methods to analyze large data sets: principal components analysis.
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.
authors.affiliation: Department of Pharmacology and Systems Therapeutics, Mount Sinai School of Medicine, New York, NY 10029, USA.
authors.forename: Neil R
authors.initials: NR
authors.lastname: Clark
authors.forename: Avi
authors.initials: A
authors.lastname: Ma'ayan
mesh_terms: D003627:Data Interpretation, Statistical; D008954:Models, Biological; D049490:Systems Biology / Q000193:education / Q000379:methods* / Q000639:trends*