Package: Envisage
Version: 1.0-2
Date: 2008-06-26
Title: Enable Numerous Variables In Significance Analysis of Gene
        Expression
Author: Sam Robson <S.C.Robson@warwick.ac.uk>, Heather Turner
        <Heather.Turner@warwick.ac.uk> Helen Brown
        <H.E.Brown@warwick.ac.uk> Ewan Hunter <ewan_hunter@agilent.com>
Maintainer: Sam Robson <S.C.Robson@warwick.ac.uk>
Depends: R (>= 2.6.1), multtest, tcltk, tkWidgets (>= 1.16.0), car,
        Biobase
Suggests: GeneSpring, affy, marray
Description: Model-based analysis of significantly changing gene
        expression across a variety of experiment variables. Gene
        expression is modelled using experiment variables as
        explanatory variables. Variables can be experiment variables of
        primary interest, or phenotypic, environmental or technical
        variables that may influence their effect on gene expression.
        Stepwise model selection, based on the Akaike information
        criterion, identifies a candidate model for each gene. Model
        terms are tested for significance using a Type II SS F-test
        statistic, which is compared to a user defined threshold value
        to determine statistical significance of selected model terms.
        Lists of genes found to be significant for each model term are
        found and submitted to the user.
URL:
        http://www2.warwick.ac.uk/fac/sci/moac/currentstudents/2003/sam_robson/linear_models/downloads/
biocViews: Microarray, OneChannel, Statistics
License: GPL version 2 or newer
Packaged: Thu Jun 26 23:14:39 2008; Sam
Built: R 2.6.2; ; 2008-06-26 23:14:41; windows
