CAGED 1.1

:: DESCRIPTION

CAGED (Cluster Analysis of Gene Expression Dynamics) is a model based,Bayesian clustering procedure developed by Ramoni et al. to cluster gene expression profiles measured with microarrays in temporal experiments. Contrary to popular clustering methods, CAGED takes into account explicitly the fact that expression profiles in temporal experiments may be serially correlated and uses a model-based, Bayesian procedure to identify the best grouping of the gene expression data in an automated way.

CAGED implements a Bayesian clustering method designed to handle temporal experiments and subsuming standard independent experiments as a special case.

::DEVELOPER

Marco Ramoni & Paola Sebastiani

:: SCREENSHOTS

:: REQUIREMENTS

• Windows

:: DOWNLOAD

CAGED

:: MORE INFORMATION

You will need a password to use this program. Please email sebas@bu.edu for a password.