Discriminating Normal and Cancerous Thyroid Cell Lines using Implicit Context Representation Cartesian Genetic Programming

TY - JOUR

T1 - Discriminating Normal and Cancerous Thyroid Cell Lines using Implicit Context Representation Cartesian Genetic Programming

AU - Lones, Michael A.

AU - Smith, Stephen L.

AU - Harris, Andrew T.

AU - High, Alec S.

AU - Fisher, Sheila E.

AU - Smith, D. Alastair

AU - Kirkham, Jennifer

PY - 2010

Y1 - 2010

N2 - 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.

AB - 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.

KW - CLASSIFICATION

KW - RECOGNITION

KW - ALGORITHMS

UR - http://www.scopus.com/inward/record.url?scp=79959432310&partnerID=8YFLogxK

M3 - Article

SP - -

JO - 2010 ieee congress on evolutionary computation (cec)

JF - 2010 ieee congress on evolutionary computation (cec)

ER -