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BMCBI
2005
190views more  BMCBI 2005»
15 years 4 months ago
An Entropy-based gene selection method for cancer classification using microarray data
Background: Accurate diagnosis of cancer subtypes remains a challenging problem. Building classifiers based on gene expression data is a promising approach; yet the selection of n...
Xiaoxing Liu, Arun Krishnan, Adrian Mondry
BMCBI
2007
179views more  BMCBI 2007»
15 years 4 months ago
Gene selection with multiple ordering criteria
Background: A microarray study may select different differentially expressed gene sets because of different selection criteria. For example, the fold-change and p-value are two co...
James J. Chen, Chen-An Tsai, ShengLi Tzeng, Chun-H...
UIC
2009
Springer
15 years 11 months ago
Context-Aware Activity Recognition through a Combination of Ontological and Statistical Reasoning
Abstract. In the last years, techniques for activity recognition have attracted increasing attention. Among many applications, a special interest is in the pervasive e-Health domai...
Daniele Riboni, Claudio Bettini
159
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IPMI
2003
Springer
16 years 5 months ago
Analysis of Event-Related fMRI Data Using Best Clustering Bases
We explore a new paradigm for the analysis of event-related functional magnetic resonance images (fMRI) of brain activity. We regard the fMRI data as a very large set of time serie...
François G. Meyer, Jatuporn Chinrungrueng
GLOBECOM
2010
IEEE
15 years 2 months ago
Know Your Enemy, Know Yourself: Block-Level Network Behavior Profiling and Tracking
Abstract. Gaining a better knowledge of one's own network is crucial to effectively manage and secure today's large, diverse campus and enterprise networks. Because of th...
Esam Sharafuddin, Nan Jiang, Yu Jin, Zhi-Li Zhang