Package: ELBOW
Type: Package
Title: ELBOW - Evaluating foLd change By the lOgit Way
Version: 1.22.0
Date: 2014-01-30
Author: Xiangli Zhang, Natalie Bjorklund, Graham Alvare, Tom Ryzdak,
        Richard Sparling, Brian Fristensky
Maintainer: Graham Alvare <alvare@cc.umanitoba.ca>, Xiangli Zhang
 <justinzhang.xl@gmail.com>
Description: Elbow an improved fold change test that uses cluster
        analysis and pattern recognition to set cut off limits that are
        derived directly from intrareplicate variance without assuming
        a normal distribution for as few as 2 biological replicates.
        Elbow also provides the same consistency as fold testing in
        cross platform analysis. Elbow has lower false positive and
        false negative rates than standard fold testing when both are
        evaluated using T testing and Statistical Analysis of
        Microarray using 12 replicates (six replicates each for initial
        and final conditions). Elbow provides a null value based on
        initial condition replicates and gives error bounds for results
        to allow better evaluation of significance.
License: file LICENSE
License_is_FOSS: yes
License_restricts_use: no
Suggests: DESeq, GEOquery, limma, simpleaffy, affyPLM, RColorBrewer,
        hgu133plus2cdf, hgu133plus2probe
Depends: R (>= 2.15.0)
Imports: graphics, stats, utils
biocViews: ImmunoOncology, Technology, Microarray, RNASeq, Sequencing,
        Sequencing, Software, MultiChannel, OneChannel, TwoChannel,
        GeneExpression
git_url: https://git.bioconductor.org/packages/ELBOW
git_branch: RELEASE_3_10
git_last_commit: a13963c
git_last_commit_date: 2019-10-29
Date/Publication: 2019-10-29
NeedsCompilation: no
Packaged: 2019-10-30 02:32:57 UTC; biocbuild
Built: R 3.6.1; ; 2019-10-30 13:09:35 UTC; windows
