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Automated Phenotype-Genotype Table Understanding

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Contemporary Challenges and Solutions in Applied Artificial Intelligence

Part of the book series: Studies in Computational Intelligence ((SCI,volume 489))

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Abstract

Scholarly writing in the broad area of experimental biomedicine is a genre that has a rhetorical style that exhibits some easily identifiable stylistic features: division of the paper into well-defined sections (Introduction, Methods, Results, Discussion), and the use of tables and figures to organize and express important results. Tables and figures have stylistic features, as well: titles, captions, content.

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References

  1. Hunter, L., Cohen, K.B.: Biomedical language processing: What’s beyond PubMed? Molecular Cell 21(5), 589–594 (2006)

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Author information

Authors and Affiliations

  1. Department of Computer Science, The University of Western Ontario, London, ON, Canada

    Shifta Ansari & Robert E. Mercer

  2. Department of Biochemistry, The University of Western Ontario, London, ON, Canada

    Peter Rogan

Authors
  1. Shifta Ansari
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  2. Robert E. Mercer
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  3. Peter Rogan
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Corresponding author

Correspondence to Shifta Ansari .

Editor information

Editors and Affiliations

  1. , Department of Computer Science, Texas State University, San Marcos, 78666, Texas, USA

    Moonis Ali

  2. , Department of Computer Science, VU University Amsterdam, De Boelelaan, Amsterdam, 1081, Netherlands

    Tibor Bosse

  3. Department of Intelligent Systems, Faculty of Electrical Engineering, Delft University of Technology, Mekelweg 4, Delft, 2628, Netherlands

    Koen V. Hindriks

  4. , Department of Computer Science, VU University Amsterdam, De Boelelaan 1081, Amsterdam, 1081, Netherlands

    Mark Hoogendoorn

  5. Department of Intelligent Systems, Faculty of Electrical Engineering,, Delft University of Technology, Mekelweg 4, Delft, 2628, Netherlands

    Catholijn M. Jonker

  6. , Department of Computer Science, VU University Amsterdam, De Boelelaan, Amsterdam, 1081, Netherlands

    Jan Treur

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© 2013 Springer International Publishing Switzerland

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Ansari, S., Mercer, R.E., Rogan, P. (2013). Automated Phenotype-Genotype Table Understanding. In: Ali, M., Bosse, T., Hindriks, K., Hoogendoorn, M., Jonker, C., Treur, J. (eds) Contemporary Challenges and Solutions in Applied Artificial Intelligence. Studies in Computational Intelligence, vol 489. Springer, Heidelberg. https://doi.org/10.1007/978-3-319-00651-2_7

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  • DOI: https://doi.org/10.1007/978-3-319-00651-2_7

  • Publisher Name: Springer, Heidelberg

  • Print ISBN: 978-3-319-00650-5

  • Online ISBN: 978-3-319-00651-2

  • eBook Packages: EngineeringEngineering (R0)

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