transmod: Transcriptogram and Modularity

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#  Copyright (C) 2017 José Flávio de Souza Dias Júnior
#  
#  This file is part of "transmod" - <https://github.com/joseflaviojr/transmod>.
#  
#  "transmod" is free software: you can redistribute it and/or modify
#  it under the terms of the GNU Lesser General Public License as published by
#  the Free Software Foundation, either version 3 of the License, or
#  (at your option) any later version.
#  
#  "transmod" is distributed in the hope that it will be useful,
#  but WITHOUT ANY WARRANTY; without even the implied warranty of
#  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
#  GNU Lesser General Public License for more details.
#  
#  You should have received a copy of the GNU Lesser General Public License
#  along with "transmod". If not, see <http://www.gnu.org/licenses/>.

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#' Seriation of human gene network (HI-II-14).
#' The network was specified in the work "A proteome-scale map of
#' the human interactome network" (Rolland et al., 2014).
#' The seriation was specified in the work "A module-based approach
#' for evaluating differential genome-wide expression profiles" (Dias et al., 2016).
#' 
#' @source \url{https://doi.org/10.1109/BRACIS.2016.069}
"seriation_dias2016"

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#' RNA-Seq data corresponding to experimental study about leukemia.
#' The table contains 72 human samples: 43 Acute Myeloid Leukemia (AML),
#' 12 Acute Lymphoblastic Leukemia (ALL) and 17 Healthy (HEA).
#' The samples cover 21865 genes.
#' Citation: Macrae T, Sargeant T, Lemieux S, Hébert J et al. RNA-Seq reveals
#' spliceosome and proteasome genes as most consistent
#' transcripts in human cancer cells. PLoS One, 2013.
#' 
#' @source \url{https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE48173}
"expression_gse48173"

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