Discriminating Normal and Cancerous Thyroid Cell Lines using Implicit Context Representation Cartesian Genetic Programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.7913
- @InProceedings{Lones:2010:CEC,
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author = "Michael A. Lones and Stephen L. Smith and
Andrew T. Harris and Alec S. High and Sheila E. Fisher and
D. Alastair Smith and Jennifer Kirkham",
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title = "Discriminating Normal and Cancerous Thyroid Cell Lines
using Implicit Context Representation Cartesian Genetic
Programming",
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booktitle = "2010 IEEE World Congress on Computational
Intelligence",
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year = "2010",
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editor = "Pilar Sobrevilla",
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pages = "1945--1950",
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address = "Barcelona",
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month = "18-23 " # jul,
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organisation = "IEEE Computational Intelligence Society",
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publisher = "IEEE",
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keywords = "genetic algorithms, genetic programming, cartesian
genetic programming",
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isbn13 = "978-1-4244-6910-9",
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URL = "http://www-users.york.ac.uk/~mal503/common/papers/lones-wcci2010.pdf",
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DOI = "doi:10.1109/CEC.2010.5586494",
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size = "6 pages",
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abstract = "In this paper, we describe a method for discriminating
between thyroid cell lines. Five commercial thyroid
cell lines were obtained, ranging from non-cancerous to
cancerous varieties. Raman spectroscopy was used to
interrogate native cell biochemistry. Following
suitable normalisation of the data, implicit context
representation Cartesian genetic programming was then
used to search for classifiers capable of
distinguishing between the spectral fingerprints of the
different cell lines. The results are promising,
producing comprehensible classifiers whose output
values correlate with biological aggressiveness.",
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notes = "WCCI 2010. Also known as \cite{5586494}",
- }
Genetic Programming entries for
Michael A Lones
Stephen L Smith
Andrew T Harris
Alec S High
Sheila E Fisher
D Alastair Smith
Jennifer Kirkham
Citations