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James
Malone
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| Data Mining, Artificial Intelligence and Bioinformatics | |||||||||
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My research interests lie in the potential machine learning and data mining techniques and technologies hold to assist with the analysis and interpretation of biomedical data. This also includes the use of knowledge representation techniques such as ontologies and techniques from areas such as soft computing and statistics. My research work has involved the use of Machine Learning techniques to perform data mining upon Proteomic data sets, in particular in the area of 2-D Electrophoresis Gel post-experimentation data and microarray expression data. This work has been further extended to other spatio-temporal domains, including robotics. I am based at the University of Edinburgh's 5*A Informatics research department. More research details>> |
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Latest Publications
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Latest ARMADA Release DOWNLOAD the latest version of ARMADA. Version 1.3.2 of the ARMADA data mining tool, now compatible with Matlab version 7 as of November 2006, can be downloaded here>> Also available at Mathworks here>> |
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Publications Paper titled
"Automated trend analysis of proteomics data using an intelligent
data mining architecture" published in Expert
Systems with Applications
Vol. 30(1), Jan
2006. Authors: James Malone, Ken McGarry, Chris Bowerman. |
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3rd IICAI Call for Papers Open I am a member of the PC for the 3rd IICAI. For more details click here>> |
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Professional Activities I review for several conferences, journals and funding bodies including IJCNN, Journal of Proteome Research, IEEE Transactions on IT in Biomedicine, IICAI, BBSRC and Leverhulme Trust |
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I am also a reviewer for the Netscape Open Directory Project. To find out more click here>> | ||||||||
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am a member of the IEEE Website>> |
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