GP for variable selection in Regression
- if u wanted a paper u could have got it from me, i have it with me since long,
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- Just to let you know Steven and I have a paper which,
amongst other things, discusses GP in the pharmaceutical industry
at the current WSC10 conference (September 19th - October 7th).
"Advances in the Application of Machine Learning Techniques in Drug
Discovery, Design and Development"
S J Barrett and W B Langdon GlaxoSmithKline
Pharmaceutical discovery and development is a cascade of extremely
complex and costly research encompassing many facets from:
therapeutic target identification and bioinformatics study,
candidate drug discovery and optimisation to pre-clinical
organism-level evaluations and beyond to extensive clinical trials
assessing effectiveness and safety of new medicines. Machine
learning, in particular support vector machines SVM, particle swarm
optimisation PSO and genetic programming GP, is increasingly used.
WSC10 is a free online conference.
You need to register, eg via
first. Then go to "Design".
We would welcome any comments or discussion points via the
"View/Post messages" button below the article.
> Can some help me with the application of GP for variable selection inYou might be interested in
> Linear regression..
Genetic Programming for Mining DNA Chip data from Cancer Patients,
W. B. Langdon and B. F. Buxton, Genetic Programming and Evolvable
Machines, 5 (3): 251-257, September 2004
Also the GP bibliography http://www.cs.bham.ac.uk/~wbl/biblio/
has many papers on variable selection.
W. B. Langdon,
University of Essex
Colchester CO4 3SQ, UK
Spam blocking gmail,eurostar,earthlink,goldmedal,iasted,etc
Foundations of Genetic Programming
Evolving L-systems http://www.cs.ucl.ac.uk/staff/W.Langdon/pfeiffer.html
EuroGP Budapest 2006 http://www.evonet.info/eurogp2006
GP Bibliography http://www.cs.bham.ac.uk/~wbl/biblio/