PLS methods in mixOmics: PCA and PLS скачать в хорошем качестве

PLS methods in mixOmics: PCA and PLS

PLS (Partial Least Squares / Projection to Latent Structures developed by Wold in the 1980s) is an algorithm of choice for data integration of small N large P problems. These variants form the basis of our comprehensive mixOmics R package for feature selection, dimension reduction and integration of omics data sets. Associate Profession Kim-Anh Lê Cao first gives some context about biological data integration, then describes the underlying PLS algorithm to solve PCA, sparse PCA, PLS and sPLS. This talk is targeted at a general audience with background knowledge in statistics