Title
Bioinformatics Methods for Interpreting Toxicogenomics Data: The Role of Text-Mining
Author
Hettne, K.M.
Kleinjans, J.
Stierum, R.H.
Boorsma, A.
Kors, J.A.
Publication year
2014
Abstract
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 integration of text-mining with toxicogenomics data analysis methods is described. Four different areas in toxicogenomics where conventional bioinformatics solutions can be assisted by text-mining are described: class discovery and separation, connectivity mapping, mechanistic analysis, and identification of early predictors of toxicity. © 2014 Elsevier Inc. All rights reserved.
Subject
Life
MSB - Microbiology and Systems Biology
ELSS - Earth, Life and Social Sciences
Biomedical Innovation
Biology
Healthy Living
Bioinformatics
Gene-expression profiling
Gene-set analysis
Text-mining
To reference this document use:
http://resolver.tudelft.nl/uuid:a499b7b6-5877-4f0d-8e61-f1c81182b8e8
DOI
https://doi.org/10.1016/b978012397862200019-x
TNO identifier
513332
ISBN
9780123978622
Source
Toxicogenomics-Based Cellular Models: Alternatives to Animal Testing for Safety Assessment, 291-304
Document type
bookPart