Process monitoring refers to the task of detecting abnormal process operations resulting from the shift in the mean and/or the variance of one or more process variables. To success...
Background: Several mathematical and statistical methods have been proposed in the last few years to analyze microarray data. Most of those methods involve complicated formulas, a...
Background: Gene set analysis (GSA) has become a successful tool to interpret gene expression profiles in terms of biological functions, molecular pathways, or genomic locations. ...
Ke Zhang, Haiyan Wang, Arne C. Bathke, Solomon W. ...
A precondition of existing ensemble-based distributed data mining techniques is the assumption that contributing data are identically and independently distributed. However, this a...
Yan Xing, Michael G. Madden, Jim Duggan, Gerard Ly...
: This paper describes the architecture and services developed by the GRANI project for the Australian Nanostructural Analysis Network Organization (NANO). The aim of GRANI was to ...
Brendan Mauger, Jane Hunter, John Drennan, Ashley ...