| Title: | Assigning Level in Data-mining Exercises |
| Authors: | Hooley, Paul Chilton, Ian J. Fincham, Daron A. Burns, Alan T. H. Whitehead, Michael P. |
| Citation: | Bioscience Education Electronic Journal, 9: 1-9 |
| Publisher: | Centre for Bioscience, the Higher Education Academy |
| Journal: | Bioscience Education Electronic Journal |
| Issue Date: | 2007 |
| URI: | http://hdl.handle.net/2436/29804 |
| DOI: | doi:10.3108/beej.9.4 |
| Additional Links: | http://www.bioscience.heacademy.ac.uk/journal/vol9/beej-9-4.htm |
| Abstract: | There is currently much interest in ascribing outcomes to Masters (M) level programmes. It is particularly difficult to define M level outcomes in bioinformatics for students on non-specialist programmes. An approach is described that attempts to discriminate undergraduate from M level in a data-mining exercise. Differentiation of level is based upon the taxonomic origin of a DNA sequence, the relative increase in gene complexity from lower to higher eukaryote and the initiative required to use a wider range of databases and analytical tools. |
| Type: | Article |
| Language: | en |
| Keywords: | Masters Level Higher education Data mining Bioinformatics |
| ISSN: | 1479-7860 |
| Appears in Collections: | Cancer Research Group
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