Searched for: author%3A%22Hettne%2C+K.M.%22
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Hettne, K.M. (author), Kleinjans, J. (author), Stierum, R.H. (author), Boorsma, A. (author), Kors, J.A. (author)
This chapter concerns the application of bioinformatics methods to the analysis of toxicogenomics data. The chapter starts with an introduction covering how bioinformatics has been applied in toxicogenomics data analysis, and continues with a description of the foundations of a specific bioinformatics method called text-mining. Next, the...
bookPart 2014
Hettne, K.M. (author), Boorsma, A. (author), van Dartel, D.A.M. (author), Goeman, J.J. (author), de Jong, E. (author), Piersma, A.H. (author), Stierum, R.H. (author), Kleinjans, J.C. (author), Kors, J.A. (author)
Background: Availability of chemical response-specific lists of genes (gene sets) for pharmacological and/or toxic effect prediction for compounds is limited. We hypothesize that more gene sets can be created by next-generation text mining (next-gen TM), and that these can be used with gene set analysis (GSA) methods for chemical treatment...
article 2013
Hettne, K.M. (author), Stierum, R.H. (author), Schuemie, M.J. (author), Hendriksen, P.J.M. (author), Schijvenaars, B.J.A. (author), van Mulligen, E.M. (author), Kleinjans, J. (author), Kors, J.A. (author), TNO Kwaliteit van Leven (author)
Motivation: From the scientific community, a lot of effort has been spent on the correct identification of gene and protein names in text, while less effort has been spent on the correct identification of chemical names. Dictionary-based term identification has the power to recognize the diverse representation of chemical information in the...
article 2009