(Zhang & Song 2013) <arXiv:1311.2707> and an exact
Challenges (Hill et al 2016) <doi:10.1038/nmeth.3773>. A
Suggests: Ckmeans.1d.dp, DiffXTables, testthat, knitr, rmarkdown

Suggests: Ckmeans.1d.dp, DiffXTables, GridOnClusters, testthat, knitr,

evidence for causality based on the causality-by-
functionality principle. They include asymptotic functional
chi-squared tests (Zhang & Song 2013) <arXiv:1311.2707>,
an adapted functional chi-squared test, and an exact
Challenges (Hill et al. 2016) <doi:10.1038/nmeth.3773>. A
Imports: Rcpp, Rdpack (>= 0.6-1), stats, dqrng
Suggests: Ckmeans.1d.dp, DescTools, DiffXTables, GridOnClusters,

Title: Functional Profiling of cDNA Microarray Expression Data
Description: FunCluster performs a functional analysis of microarray data based
Gene Ontology & KEGG functional annotations. Based on expression
data and functional annotations FunCluster builds classes of
putatively co-regulated biological processes through a specially
designed clustering procedure involving functional annotations
Packaged: Thu Mar  2 22:38:31 2006; root

Description: FunCluster performs a functional analysis of microarray expression
data based on Gene Ontology & KEGG functional annotations. From
expression data and functional annotations FunCluster builds classes
of putatively co-regulated biological processes through a specially
Packaged: Fri Apr  7 16:24:02 2006; root

Packaged: Sun Sep 24 23:09:57 2006; root

Packaged: Sat Nov  4 00:35:42 2006; root

Packaged: Thu Mar 29 01:37:48 2007; root

Packaged: Wed May 16 23:48:50 2007; chenegar

Title: Functional Profiling of Microarray Expression Data
Packaged: Mon Jul  9 12:47:52 2007; chenegar

Packaged: Tue Oct 23 14:09:29 2007; chenegar

Packaged: Fri Apr  4 10:43:16 2008; chenegar

Description: FunCluster performs a functional analysis of microarray
expression data based on Gene Ontology & KEGG functional
annotations. From expression data and functional annotations
FunCluster builds classes of putatively co-regulated biological
processes through a specially designed clustering procedure.