385 search results - page 36 / 77 » A Bayesian Approach to High-Throughput Biological Model Gene... |
SAIG
2000
Springer
13 years 11 months ago
2000
Springer
Extracting information from data, often also called data analysis, is an important scienti c task. Statistical approaches, which use methods from probability theory and numerical a...
CA
2000
IEEE
13 years 11 months ago
2000
IEEE
In this paper an operational model for the automatic generation of lifelike gestures of an anthropomorphic virtual agent is described. The biologically motivated approach to contr...
GCB
2005
Springer
14 years 1 months ago
2005
Springer
Motivation: With the increasing availability of protein structures, the generation of biologically meaningful 3D patterns from the simultaneous alignment of several protein struct...
NIPS
2008
13 years 9 months ago
2008
Abstract: Structure learning of dynamic Bayesian networks provide a principled mechanism for identifying conditional dependencies in time-series data. This learning procedure assum...
BMCBI
2011
12 years 11 months ago
2011
Background: The analysis of gene expression from time series underpins many biological studies. Two basic forms of analysis recur for data of this type: removing inactive (quiet) ...