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PLS methods in mixOmics: PCA and PLS
Автор: Kim-Anh Lê Cao
Загружено: 2020-05-09
Просмотров: 7081
Описание:
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
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