Pattern browsing and query adjustment for the exploratory analysis and cooperative visualisation of microarray time-course data.
Craig, Paul; Cannon, Alan; Kennedy, Jessie; Kukla, Robert
Dr Alan Cannon A.Cannon@napier.ac.uk
Prof Jessie Kennedy J.Kennedy@napier.ac.uk
Dr Robert Kukla R.Kukla@napier.ac.uk
Senior Research Fellow
This paper presents work to support collaborative visualisation and data analysis in the microarray time-series explorer (MaTSE) software. We introduce a novel visualisation component called the ‘pattern browser’ which is used to support the annotation and adjustment of user queries. This includes an explanation of why this component is required and how it can be used with our online pattern repository by biologists collaborating in the analysis of a microarray time-course data set. To conclude we suggest which other types of collaborative visualisation would benefit from the introduction of a component with comparable functionality.
Craig, P., Cannon, A., Kennedy, J., & Kukla, R. (2010). Pattern browsing and query adjustment for the exploratory analysis and cooperative visualisation of microarray time-course data. In Y. Luo (Ed.), Cooperative Design, Visualization, and Engineering (199-206). https://doi.org/10.1007/978-3-642-16066-0_30
|Conference Name||The 7th International Conference on Cooperative Design, Visualisation and Engineering|
|Start Date||Sep 19, 2010|
|End Date||Sep 22, 2010|
|Deposit Date||Feb 3, 2011|
|Publicly Available Date||May 16, 2017|
|Peer Reviewed||Peer Reviewed|
|Series Title||Lecture Notes in Computer Science|
|Book Title||Cooperative Design, Visualization, and Engineering|
|Keywords||Cooperative visualisation; combined multiple views; bioinformatics; microarray data analysis;|
Pattern browsing and query adjustment for the exploratory analysis and cooperative visualisation of microarray time-course data.pdf
You might also like
Ontology-Driven Automated Generation of Data Entry Interfaces to Databases
A universal character model and ontology of defined terms for taxonomic description.