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BMCBI
2010
146views more  BMCBI 2010»
13 years 7 months ago
On the Choice and Number of Microarrays for Transcriptional Regulatory Network Inference
Background: Transcriptional regulatory network inference (TRNI) from large compendia of DNA microarrays has become a fundamental approach for discovering transcription factor (TF)...
Elissa J. Cosgrove, Timothy S. Gardner, Eric D. Ko...
BMCBI
2007
129views more  BMCBI 2007»
13 years 7 months ago
Inferring cellular networks - a review
In this review we give an overview of computational and statistical methods to reconstruct cellular networks. Although this area of research is vast and fast developing, we show t...
Florian Markowetz, Rainer Spang
AAAI
1990
13 years 8 months ago
Symbolic Probabilistic Inference in Belief Networks
The Symbolic Probabilistic Inference (SPI) Algorithm [D'Ambrosio, 19891 provides an efficient framework for resolving general queries on a belief network. It applies the conc...
Ross D. Shachter, Bruce D'Ambrosio, Brendan Del Fa...
BIRD
2007
Springer
118views Bioinformatics» more  BIRD 2007»
13 years 11 months ago
Biological Network Inference Using Redundancy Analysis
The paper presents MRNet, an original method for inferring genetic networks from microarray data. This method is based on maximum relevance/minimum redundancy (MRMR), an effective ...
Patrick Emmanuel Meyer, Kevin Kontos, Gianluca Bon...
INFOCOM
2006
IEEE
14 years 1 months ago
Formal Analysis of Passive Measurement Inference Techniques
Abstract— Verifying the accuracy of a passive measurementsbased inference technique under all possible network scenarios is a difficult challenge - the measurement point has lim...
Sharad Jaiswal, Gianluca Iannaccone, James F. Kuro...