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Classifying Data Considering Pairs of Patients in a Relational Space

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Image Analysis and Recognition (ICIAR 2011)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 6753))

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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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References

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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

  • eBook Packages: Computer ScienceComputer Science (R0)

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