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» Using Bayesian networks to analyze expression data
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137
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POPL
2012
ACM
13 years 11 months ago
A compiler and run-time system for network programming languages
Software-defined networks (SDNs) are a new implementation architecture in which a controller machine manages a distributed collection of switches, by instructing them to install ...
Christopher Monsanto, Nate Foster, Rob Harrison, D...
109
Voted
KDD
2009
ACM
160views Data Mining» more  KDD 2009»
15 years 10 months ago
Clustering event logs using iterative partitioning
The importance of event logs, as a source of information in systems and network management cannot be overemphasized. With the ever increasing size and complexity of today’s even...
Adetokunbo Makanju, A. Nur Zincir-Heywood, Evangel...
BMCBI
2008
100views more  BMCBI 2008»
15 years 4 months ago
PatternLab for proteomics: a tool for differential shotgun proteomics
Background: A goal of proteomics is to distinguish between states of a biological system by identifying protein expression differences. Liu et al. demonstrated a method to perform...
Paulo C. Carvalho, Juliana S. G. Fischer, Emily I....
169
Voted
RECOMB
2003
Springer
16 years 4 months ago
An integrated probabilistic model for functional prediction of proteins
We develop an integrated probabilistic model to combine protein physical interactions, genetic interactions, highly correlated gene expression network, protein complex data, and d...
Minghua Deng, Ting Chen, Fengzhu Sun
114
Voted
BMCBI
2007
117views more  BMCBI 2007»
15 years 4 months ago
Application of a correlation correction factor in a microarray cross-platform reproducibility study
Background: Recent research examining cross-platform correlation of gene expression intensities has yielded mixed results. In this study, we demonstrate use of a correction factor...
Kellie J. Archer, Catherine I. Dumur, G. Scott Tay...