Clustering of time series cytotoxicity data

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dc.contributor.advisorAnton, Cristina
dc.contributor.authorRichard, Dan
dc.date.accessioned2020-05-11
dc.date.accessioned2022-05-31T00:59:45Z
dc.date.available2022-05-31T00:59:45Z
dc.date.issued2020
dc.descriptionPresented in absentia on April 27, 2020 at Student Research Day held at MacEwan University in Edmonton, Alberta. (Conference cancelled.) Also presented on June 19-22, 2019 at the Classification Society meeting held at MacEwan University in Edmonton, Alberta.
dc.description.abstractTo study the effect of various toxicants on cells’ growth, the Alberta Centre for Toxicology did several in-vitro experiments, and concentration response curves (TCRCs) were generated. Each TCRC represents a time series that gives the temporal evolution of the number of cells, after exposure to a chemical with a certain concentration. Here we use the wavelet transform to extract important features from the original TCRC data, and we apply self organizing maps to classify the toxicants according to their adverse biological response.
dc.format.extent1.34MB
dc.format.mimetypePDF
dc.identifier.urihttps://hdl.handle.net/20.500.14078/1544
dc.languageEnglish
dc.language.isoen
dc.rightsAll Rights Reserved
dc.subjectconcentration response curves
dc.subjectself organizing maps
dc.subjecttoxicants
dc.titleClustering of time series cytotoxicity data
dc.typeStudent Presentation
dspace.entity.type
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