Package: DiffCorr
Type: Package
Title: Analyzing and Visualizing Differential Correlation Networks in
Biological Data
Version: 0.4.1
Date: 2015-03-31
Author: Atsushi Fukushima, Kozo Nishida
Maintainer: Atsushi Fukushima <atsushi.fukushima@riken.jp>
Depends: pcaMethods, igraph, fdrtool, multtest
Description: A method for identifying pattern changes between 2 experimental
conditions in correlation networks (e.g., gene co-expression networks),
which builds on a commonly used association measure, such as Pearson's
correlation coefficient. This package includes functions to calculate
correlation matrices for high-dimensional dataset and to test
differential correlation, which means the changes in the correlation
relationship among variables (e.g., genes and metabolites) between 2
experimental conditions.
License: GPL (> 3)
Packaged: 2015-03-31 08:49:09 UTC; fuku
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2015-04-02 00:07:09
Package: TBEST
Type: Package
Title: Tree Branches Evaluated Statistically for Tightness
Version: 5.0
Date: 2014-10-30
Author: Guoli Sun, Alex Krasnitz
Maintainer: Guoli Sun <guolisun87@gmail.com>
Description: Our method introduces mathematically well-defined measures for tightness of branches in a hierarchical tree. Statistical significance of the findings is determined, for all branches of the tree, by performing permutation tests, optionally with generalized Pareto p-value estimation.
License: GPL-2
Depends: parallel, signal, fdrtool
Packaged: 2014-12-17 18:08:14 UTC; gsun
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-12-29 17:56:43
Package: DBGSA
Type: Package
Title: methods of distance-based gene set functional enrichment
analysis.
Version: 1.2
Date: 2011-12-29
Author: Li Jin, Huang Meilin
Maintainer: Li Jin <lijin@hrbmu.edu.cn>
Data: 2011-05-17
Description: This package provides methods and examples to support a
method of Gene Set Analysis (GSA). DBGSA is a novel
distance-based gene set enrichment analysis method. We consider
that, the distance between 2 groups with different phenotype by
focusing on the gene expression should be larger, if a certain
gene functional set was significantly associated with a
particular phenotype.
License: GPL-3
Depends: R (>= 2.12.2), fdrtool (>= 1.2.6)
BioViews: bioinformatics, Microarray
Collate: avelinkdis.R centdis.R distable.R randdis.R valuep.R
functionall.R
lazy-loading: yes
Packaged: 2012-01-16 03:26:10 UTC; Lemon
Repository: CRAN
Date/Publication: 2012-01-16 07:32:40
Package: st
Version: 1.2.5
Date: 2015-07-08
Title: Shrinkage t Statistic and Correlation-Adjusted t-Score
Author: Rainer Opgen-Rhein, Verena Zuber, and Korbinian Strimmer.
Maintainer: Korbinian Strimmer <strimmerlab@gmail.com>
Depends: R (>= 3.0.2), sda (>= 1.3.7), fdrtool (>= 1.2.15), corpcor (>=
1.6.8)
Suggests: limma, samr
Imports: graphics, stats
Description: Implements the "shrinkage t" statistic
introduced in Opgen-Rhein and Strimmer (2007) and a shrinkage estimate
of the "correlation-adjusted t-score" (CAT score) described in
Zuber and Strimmer (2009). It also offers a convenient interface
to a number of other regularized t-statistics commonly
employed in high-dimensional case-control studies.
License: GPL (>= 3)
URL: http://strimmerlab.org/software/st/
Packaged: 2015-07-08 18:42:21 UTC; strimmer
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2015-07-08 22:37:28
providing 
.