53 search results - page 4 / 11 » Using hidden Markov models to analyze gene expression time c... |
BMCBI
2007
13 years 7 months ago
2007
Background: Modelling of time series data should not be an approximation of input data profiles, but rather be able to detect and evaluate dynamical changes in the time series dat...
ICCV
2007
IEEE
13 years 9 months ago
2007
IEEE
The analysis of facial expression temporal dynamics is of great importance for many real-world applications. Being able to automatically analyse facial muscle actions (Action Units...
BIBE
2007
IEEE
14 years 1 months ago
2007
IEEE
Abstract—In this paper we demonstrate the inherent robustness of minimum distance estimator that makes it a potentially powerful tool for parameter estimation in gene expression ...
IDEAL
2004
Springer
14 years 24 days ago
2004
Springer
Building genetic regulatory networks from time series data of gene expression patterns is an important topic in bioinformatics. Probabilistic Boolean networks (PBNs) have been deve...
ICDM
2002
IEEE
14 years 12 days ago
2002
IEEE
In this paper, we present a new system, called GeneScout, for predicting gene structures in vertebrate genomic DNA. The system contains specially designed hidden Markov models (HM...