385 search results - page 12 / 77 » A Bayesian Approach to High-Throughput Biological Model Gene... |
IDA
2006
Springer
13 years 7 months ago
2006
Springer
The analysis of microarray data from time-series experiments requires specialised algorithms, which take the temporal ordering of the data into account. In this paper we explore a ...
AUSAI
2008
Springer
13 years 9 months ago
2008
Springer
Hidden Markov Models are a widely used generative model for analysing sequence data. A variant, Profile Hidden Markov Models are a special case used in Bioinformatics to represent,...
BMCBI
2007
13 years 7 months ago
2007
Background: Reverse engineering cellular networks is currently one of the most challenging problems in systems biology. Dynamic Bayesian networks (DBNs) seem to be particularly su...
ISI
2007
Springer
14 years 1 months ago
2007
Springer
Abstract— Community discovery has drawn significant research interests among researchers from many disciplines for its increasing application in multiple, disparate areas, inclu...
BMCBI
2010
13 years 7 months ago
2010
Background: The evolution of high throughput technologies that measure gene expression levels has created a data base for inferring GRNs (a process also known as reverse engineeri...