Discriminating normal and cancerous thyroid cell lines using implicit context representation Cartesian genetic programming

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, i...

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Bibliographic Details
Published inIEEE Congress on Evolutionary Computation pp. 1 - 6
Main Authors Lones, Michael A, Smith, Stephen L, Harris, Andrew T, High, Alec S, Fisher, Sheila E, Smith, D Alastair, Kirkham, Jennifer
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2010
Subjects
Cancer
Chemicals
Context
Electronic mail
Genetic programming
Materials
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Summary: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.
ISBN:1424469090
9781424469093
ISSN:1089-778X
1941-0026
DOI:10.1109/CEC.2010.5586494