Luiza Piancastelli, Xian Yao Gwee and Sajal Minhas (University College Dublin)

will speak on

Computational Toolbox for Analysis of Metabolomics Data

Time: 12:00PM
Date: Mon 23rd March 2020
Location: Seminar Room SCN 1.25 [map]

Abstract: Data from metabolomic research are usually complex and high-dimensional. A few probabilistic versions of Principal Component Analysis (PCA) were developed previously and now implemented in a package and web application which can easily be used directly by end users not just for metabolomic data but also for other similar complexity data. In this seminar, we will be going through the methods on how they address the limitation of PCA and how they offer further features such as accounting covariates, discovering clusters, and ways of dealing with longitudinal data.

(This talk is part of the Working Group on Statistical Learning series.)

PDF notice

Return to all seminars