Sciweavers

829 search results - page 29 / 166
» Inferring Genetic Networks from Microarray Data
Sort
View
ISMB
2000
15 years 1 months ago
Linear Modeling of Genetic Networks from Experimental Data
Eugene P. van Someren, Lodewyk F. A. Wessels, Marc...
BMCBI
2008
115views more  BMCBI 2008»
14 years 12 months ago
Genome-scale cluster analysis of replicated microarrays using shrinkage correlation coefficient
Background: Currently, clustering with some form of correlation coefficient as the gene similarity metric has become a popular method for profiling genomic data. The Pearson corre...
Jianchao Yao, Chunqi Chang, Mari L. Salmi, Yeung S...
GECCO
2004
Springer
109views Optimization» more  GECCO 2004»
15 years 5 months ago
Tackling an Inverse Problem from the Petroleum Industry with a Genetic Algorithm for Sampling
Abstract. When direct measurement of model parameters is not possible, these need to be inferred indirectly from calibration data. To solve this inverse problem, an algorithm that ...
Pedro J. Ballester, Jonathan N. Carter
101
Voted
ACMSE
2006
ACM
15 years 5 months ago
Automatic quality assessment of Affymetrix GeneChip data
Computing reliable gene expression levels from microarray experiments is a sophisticated process with many potential pitfalls. Quality control is one of the most important steps i...
Steffen Heber, Beate Sick
CIDM
2007
IEEE
15 years 6 months ago
K2GA: Heuristically Guided Evolution of Bayesian Network Structures from Data
— We present K2GA, an algorithm for learning Bayesian network structures from data. K2GA uses a genetic algorithm to perform stochastic search, while employing a modified versio...
Eli Faulkner