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» Using Bayesian networks to analyze expression data
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DSN
2005
IEEE
15 years 9 months ago
An Experimental Evaluation to Determine if Port Scans are Precursors to an Attack
This paper describes an experimental approach to determine the correlation between port scans and attacks. Discussions in the security community often state that port scans should...
Susmit Panjwani, Stephanie Tan, Keith M. Jarrin, M...
BMCBI
2010
153views more  BMCBI 2010»
15 years 2 months ago
DiffCoEx: a simple and sensitive method to find differentially coexpressed gene modules
Background: Large microarray datasets have enabled gene regulation to be studied through coexpression analysis. While numerous methods have been developed for identifying differen...
Bruno M. Tesson, Rainer Breitling, Ritsert C. Jans...
BMCBI
2004
150views more  BMCBI 2004»
15 years 3 months ago
Graph-based iterative Group Analysis enhances microarray interpretation
Background: One of the most time-consuming tasks after performing a gene expression experiment is the biological interpretation of the results by identifying physiologically impor...
Rainer Breitling, Anna Amtmann, Pawel Herzyk
ISPA
2007
Springer
15 years 10 months ago
ECG Anomaly Detection via Time Series Analysis
—Recently, wireless sensor networks have been proposed for assisted living and residential monitoring. In such networks, physiological sensors are used to monitor vital signs e.g...
Mooi Choo Chuah, Fen Fu
KDD
2009
ACM
191views Data Mining» more  KDD 2009»
16 years 4 months ago
Scalable pseudo-likelihood estimation in hybrid random fields
Learning probabilistic graphical models from high-dimensional datasets is a computationally challenging task. In many interesting applications, the domain dimensionality is such a...
Antonino Freno, Edmondo Trentin, Marco Gori