Imports: dgof, foreach, pROC, methods, stats, utils

Imports: dgof, foreach, pROC (>= 1.9), methods, stats, utils

Imports: dgof, parallel, pROC (>= 1.9), methods, stats, utils

Title: Build Nesting or Hierarchical Structures
Description: Facilitates building a nesting or hierarchical structure as a list or data frame by using a human friendly syntax.
Imports: magrittr, rlang, vctrs, tidyselect

person("Humbert", "Costas", email = "humbert.costas@gmail.com", role = c("aut", "cre")),
person("Arnau", "Sangra", email = "arnsangra@gmail.com", role = "ctb"))
Description: Provides functions for security standards data management. It comes with data frames of 1000 observations for each security standard and updates are possible from official sources to build updated data sets.
Imports: R.utils, XML, data.table, dplyr, jsonlite, plyr, stringr

Author: Thomas Lumley, based on code by Steve Oncley and Gordon Maclean
Description: Read data from netCDF files

Title: read data in UCAR's netCDF format

Title: netClass: An R Package for Network-Based Microarray
Description: netClass is an R packages for feature (gene) selection,
which employ the biological network information to microarray
classification. We implemented average gene expression of
pathway (aep), pathway activities classification (PAC), Hub
network Classification, filter via top ranked genes(FrSVM),
smoothed t-statistic(stSVM) for two classes microarray
classification which employed the prior information.
Depends: R (>= 2.12), AnnotationDbi, pathClass, Matrix,graph, igraph,

Title: netClass: An R Package for Network-Based Biomarker Discovery
Description: netClass is an R package for network-based feature (gene)
selection for biomarkers discovery via integrating biological
information.  This package adapts the following 5 algorithms
for classifying and predicting gene expression data using prior
knowledge: 1) average gene expression of pathway (aep); 2)
pathway activities classification (PAC); 3) Hub network
Classification (hubc); 4) filter via top ranked genes (FrSVM);
Depends: R (>= 2.14), AnnotationDbi, pathClass, Matrix,graph, igraph,