Package: GRAPE
Type: Package
Title: Gene-Ranking Analysis of Pathway Expression
Version: 0.1.1
Author: Michael Klein <michael.klein@yale.edu>
Maintainer: Michael Klein <michael.klein@yale.edu>
Imports: stats
Description: Gene-Ranking Analysis of Pathway Expression (GRAPE) is a tool for
summarizing the consensus behavior of biological pathways in the form of a
template, and for quantifying the extent to which individual samples deviate
from the template. GRAPE templates are based only on the relative rankings
of the genes within the pathway and can be used for classification of tissue
types or disease subtypes. GRAPE can be used to represent gene-expression
samples as vectors of pathway scores, where each pathway score indicates the
departure from a given collection of reference samples. The resulting pathway-
space representation can be used as the feature set for various applications,
including survival analysis and drug-response prediction.
Users of GRAPE should use the following citation:
Klein MI, Stern DF, and Zhao H. GRAPE: A pathway template method to characterize
tissue-specific functionality from gene expression profiles.
BMC Bioinformatics, 18:317 (June 2017).
License: GPL-2
LazyData: TRUE
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-05-07 17:44:01 UTC; michaelklein
Repository: CRAN
Date/Publication: 2019-05-07 22:12:24 UTC

Package: GRASS
Version: 0.1-10
Date: 2002/05/23
Title: Interface between GRASS geographical information system and R
Author: Interface functions by Roger Bivand <Roger.Bivand@nhh.no>, wrapper
and helper functions modified from various originals by interface
author.
Maintainer: Roger Bivand <Roger.Bivand@nhh.no>
Description: Interface between GRASS geographical information system and R,
based on starting R from within the GRASS environment and chosen
LOCATION_NAME and MAPSET. Wrapper and helper functions are provided
for a range of R functions to match the interface metadata
structures.
Depends: R (>= 1.3.0), spatial (>= 6.2-6), akima, sgeostat.
License: GPL version 2 or later.
URL: http://grass.itc.it/statsgrass/index.html