DEPARTMENT OF MEDICAL STATISTICS
DE MONTFORT UNIVERSITY, LEICESTER
Seminar Announcement
Time: Wednesday, 16th February 2000, 1 p.m.
Place: James Went Building, DMU Leicester
Room JW 6-18
Speaker: Paul Nelson
Glaxo Smithkline, Harlow
Title: Applications of multivariate data analysis
to drug discovery and development
Abstract
Ever increasing demands for information about drug products, processes
performance and the utility or potential of techniques in drug
discovery and development has led to the generation of a great many
measurements and the identification of a great many variables that can
simultaneously influence these measurements.
The problem that soon arises is one of locating the relevant
information among so much data and interpreting it reliably. The
information of interest does not often lie in single variables, but in
their combinations.
The solution is multivariate data analysis by projection methods such
as principal components analysis (PCA) and partial least squares
(PLS). By analysing all measurements simultaneously, multivariate
projection methods utilise correlations among variables to reduce
the high-dimensional coordinate system to one comprising only a few
relevant axes. The information can then be displayed in simple
graphs.
Applications of multivariate projection methods to pharmaceutical
problems will be given to illustrate how they can be used to uncover
structure-activity relationships, patterns, outliers, influential
variables, groupings and separations that would not have been
discerned had the measurements been analysed one at a time.
See also http://www.cse.dmu.ac.uk/~jdenne/seminar.html
Info: Nick Longford, [log in to unmask]
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