Abstract
In this paper, we demonstrate the use of relational space to classify microarray gene expression data. We also show that the transformation of real valued data to binary data is able to produce better class separation with fewer genes.
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© 2011 Springer-Verlag Berlin Heidelberg
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Shafie, S.M., Petrou, M. (2011). Classifying Data Considering Pairs of Patients in a Relational Space. In: Kamel, M., Campilho, A. (eds) Image Analysis and Recognition. ICIAR 2011. Lecture Notes in Computer Science, vol 6753. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21593-3_14
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DOI: https://doi.org/10.1007/978-3-642-21593-3_14
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-21592-6
Online ISBN: 978-3-642-21593-3
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