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Pattern Recognition of Time-dependent Cellular Response of Chemicals Based on Profile Shape Similarity
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- Author / Creator
- Xi, Zhankun
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As a potential approach to interpret Mode of Action (MoA), the shape of cellular response profiles associated with chemicals has been a key consideration. In this thesis, statistical pattern recognition methods using multiconcentration time-dependent cellular response profiles (TCRPs) are explored. Cell Index (CI) values are used to reflect changes in cell population, morphology and the degree of cell attachment and are recorded dynamically as multiple time series data via the xCELLigence real-time cell analysis high-throughput (RTCA HT) system. Data processing techniques such as denoising and TCRP selection are applied to generate appropriate data for further analysis. These techniques also screen out the TCRPs which are not responsive enough and retain only those TCRPs which are the representative of action of the chemical compound based on the given cell population. Therefore, all the designed approaches are aimed at pattern recognition of TCRPs and classifying chemicals represented by different numbers of TCRPs. The results of these data-driven classification approaches show reasonable discrimination of chemicals based on profile shape similarity, which provides a potential guideline to determine Mode of Action of chemicals.
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- Graduation date
- Spring 2014
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- Type of Item
- Thesis
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- Degree
- Master of Science
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- License
- This thesis is made available by the University of Alberta Libraries with permission of the copyright owner solely for non-commercial purposes. This thesis, or any portion thereof, may not otherwise be copied or reproduced without the written consent of the copyright owner, except to the extent permitted by Canadian copyright law.