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» Inference for Multiplicative Models
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BMCBI
2010
167views more  BMCBI 2010»
15 years 2 months ago
Inference of sparse combinatorial-control networks from gene-expression data: a message passing approach
Background: Transcriptional gene regulation is one of the most important mechanisms in controlling many essential cellular processes, including cell development, cell-cycle contro...
Marc Bailly-Bechet, Alfredo Braunstein, Andrea Pag...
BMCBI
2007
164views more  BMCBI 2007»
15 years 2 months ago
Comparison of probabilistic Boolean network and dynamic Bayesian network approaches for inferring gene regulatory networks
Background: The regulation of gene expression is achieved through gene regulatory networks (GRNs) in which collections of genes interact with one another and other substances in a...
Peng Li, Chaoyang Zhang, Edward J. Perkins, Ping G...
133
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JCB
2007
130views more  JCB 2007»
15 years 2 months ago
Bayesian Inference of MicroRNA Targets from Sequence and Expression Data
MicroRNAs (miRNAs) regulate a large proportion of mammalian genes by hybridizing to targeted messenger RNAs (mRNAs) and down-regulating their translation into protein. Although mu...
Jim C. Huang, Quaid Morris, Brendan J. Frey
161
Voted
JCB
2002
160views more  JCB 2002»
15 years 2 months ago
Inference from Clustering with Application to Gene-Expression Microarrays
There are many algorithms to cluster sample data points based on nearness or a similarity measure. Often the implication is that points in different clusters come from different u...
Edward R. Dougherty, Junior Barrera, Marcel Brun, ...
111
Voted
OOPSLA
2009
Springer
15 years 9 months ago
Model transformation by demonstration
Model transformations provide a powerful capability to automate model refinements. However, the use of model transformation languages may present challenges to those who are unfami...
Yu Sun