Imports: Rcpp (>= 1.0.9), methods, stats, sparseinv, fields, Matrix(>=

Title: Creating Continuously Integrated Package Repositories from
Author: Gabriel Becker[aut,cre], Cory Barr [cre,ctb]
Description: Repository based tools for department and analysis level
reproducibility. 'GRANBase' allows creation of custom branched,
continuous integration-ready R repositories, including incremental testing of only packages which have changed versions since the last repository build.

reproducibility. 'GRANBase' allows creation of custom branched, continuous
integration-ready R repositories, including incremental testing of only packages
which have changed versions since the last repository build.

Author: Gabriel Becker[aut,cre], Cory Barr [cre,ctb], Dinakar Kulkarni [aut,ctb]
Imports: tools, utils, htmlTable, dplyr, sendmailR, covr, RCurl,
Depends: R (>= 3.1.0), switchr (>= 0.9.28), methods

Imports: tools, utils, htmlTable (>= 1.11.0), dplyr, sendmailR, covr,
RCurl, jsonlite, stringi, hexSticker, stats

Depends: GRANCore, switchr (>= 0.9.28), methods
RCurl, jsonlite, stringi, stats, markdown
Suggests: parallel, rmarkdown, hexSticker, knitr

Depends: GRANCore, switchr (>= 0.13.4), methods
RCurl, jsonlite, stringi, stats, markdown, desc
Suggests: parallel, rmarkdown, hexSticker, knitr, DT (>= 0.2)
Packaged: 2020-02-05 02:44:33 UTC; gabrielbecker

Title: Classes and Methods for 'GRANBase'
Author: Gabriel Becker[aut,cre], Dinakar Kulkarni [aut,ctb]
Description: Provides the classes and methods for GRANRepository
objects that are used within the 'GRAN' build framework for R packages.
This is primarily used by the 'GRANBase' package and repositories

Packaged: 2020-02-03 22:13:23 UTC; gabrielbecker

Package: GRAPE
Type: Package
Title: Gene-Ranking Analysis of Pathway Expression
Version: 0.1.0
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.
----------------------------------------------------------------------------------------------
GRAPE is a generalization and extension of DIRAC, originally implemented in:
Eddy, J.A., et al. (2010) <DOI:10.1371/journal.pcbi.1000792>. As a result, some
of the software below may have been previously published in Matlab by the DIRAC
authors and can be found at:
https://price.systemsbiology.org/pricelab-resources/software/.
License: GPL-2
LazyData: TRUE
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-08-24 22:45:48 UTC; michaelklein
Repository: CRAN
Date/Publication: 2016-08-25 09:59:05