Suggests: igraph0 (>= 0.5.5), biclust, lattice
Packaged: 2012-06-11 17:18:53 UTC; gaborcsardi

Suggests: igraph (>= 0.5.5), biclust, lattice

Packaged: 2013-03-13 14:39:05 UTC; gaborcsardi

Packaged: 2013-01-09 19:15:09 UTC; gaborcsardi

Description: The ISA is a biclustering algorithm that finds modules
in an input matrix. A module or bicluster is a block of the
Packaged: 2013-09-20 18:07:27 UTC; gaborcsardi

Packaged: 2015-04-08 21:15:11 UTC; gaborcsardi

Imports: grDevices, lattice, stats, utils
Packaged: 2017-03-01 14:57:17 UTC; gaborcsardi

Title: Tools to Manipulate ISA-Tab Files
ISA-Tab (Investigation/Study/Assay (ISA) tab-delimited (TAB) format) is a
general purpose framework for storing complex metadata in omics
applications. It is notoriously hard to manipulate due to the fact that
it is a graph rather than a tab-delimited data frame. The 'isaeditor' package is meant
to facilitate reading, writing, displaying, manipulating, modifying and populating
Imports: colorDF, crayon, tibble, dplyr, glue, tidyr, readr, magrittr,

Title: Implementation for the ISA Abstract Model
Description: ISA is a metadata framework to manage an increasingly diverse set
of life science, environmental and biomedical experiments. In isatabr
methods for reading, modifying and writing of files in the ISA-Tab format
are implemented. It also contains methods for processing assay data.
person("Bart-Jan", "van Rossum", role = c("aut", "cre"),
person("Maikel", "Verouden", role = c("aut"),
Suggests: tinytest, affy, Biobase, xcms, knitr, rmarkdown

Title: Crosswalks Between Classifications of Occupations
person("Alexandros", "Kouretsis", email = "ako@eworx.gr", role = c("aut", "cre")),
person("Andreas", "Bampouris", email = "aba@eworx.gr", role = "aut")
Description: Allows the user to perform approximate
matching between the occupational classifications using concordances provided by
the Institute for Structural Research and Faculty of Economics, University of
Warsaw, <doi:10.1111/ecot.12145>. The crosswalks offer a complete
step-by-step mapping of Standard Occupational Classification (2010) data to the
International Standard Classification of Occupations (2008). We propose a
mapping method based on the aforementioned research that converts measurements
to the smallest possible unit of the target taxonomy, and then performs an
aggregation/estimate to the requested degree Occupational Hierarchical level.