MetaIntegrator- Meta-Analysis of Gene Expression Data
Winston A. Haynes, Francesco Vallania, Aurelie Tomczak, Timothy Sweeney,
Erika Bongen, Purvesh Khatri
A pipeline for the meta-analysis  of gene expression data. We have
assembled several analysis and plot functions to
perform integrated multi-cohort analysis of gene expression data (meta-
analysis).
rmeta, multtest, ggplot2, parallel, Rmisc, reshape, gplots,
Biobase, RMySQL, DBI, stringr, preprocessCore, GEOquery,
GEOmetadb, RSQLite
BiocStyle, knitr, rmarkdown, RUnit, BiocGenerics

A pipeline for the meta-analysis  of gene expression data. We have
assembled several analysis and plot functions to
perform integrated multi-cohort analysis of gene expression data (meta-
analysis). Methodology described in:
<http://biorxiv.org/content/early/2016/08/25/071514>.

Winston A. Haynes, Francesco Vallania, Aurelie Tomczak, Timothy Sweeney,
Erika Bongen, Aditya M. Rao, Purvesh Khatri
rmeta, multtest, ggplot2, parallel, Rmisc, gplots, Biobase,
RMySQL, DBI, stringr, preprocessCore, GEOquery, GEOmetadb,
RSQLite, data.table, ggpubr, ROCR, zoo, pracma, COCONUT,
Metrics, manhattanly, snplist, DT, pheatmap, plyr, boot, dplyr,
reshape2, rmarkdown, AnnotationDbi, HGNChelper, magrittr, readr

rmeta, multtest, ggplot2, parallel, Rmisc, gplots, Biobase,
RMySQL, DBI, stringr, preprocessCore, GEOquery, GEOmetadb,
RSQLite, data.table, ggpubr, ROCR, zoo, pracma, COCONUT,
Metrics, manhattanly, snplist, DT, pheatmap, plyr, boot, dplyr,
reshape2, rmarkdown, AnnotationDbi, HGNChelper, magrittr,
readr, plotly, httpuv

BiocManager, rmeta, multtest, ggplot2, parallel, Rmisc,
gplots, Biobase, RMySQL, DBI, stringr, preprocessCore,
GEOquery, GEOmetadb, RSQLite, data.table, ggpubr, ROCR, zoo,
pracma, COCONUT, Metrics, manhattanly, DT, pheatmap, plyr,
boot, dplyr, reshape2, rmarkdown, AnnotationDbi, HGNChelper,
magrittr, readr, plotly, httpuv
BiocStyle, knitr, RUnit, BiocGenerics, snplist

BiocStyle, knitr, RUnit, BiocGenerics, snplist, magick

Biobase, e1071, fgui, grDevices, graphics, googleVis,
maptools, rgeos, spgrass6, raster
Frederico Mestre, Fernando Canovas, Ricardo Pita, Antonio Mira, Pedro
Beja.
Tools to generate random landscape graphs, evaluate species
occurrence in dynamic landscapes, simulate future landscape occupation and
evaluate range expansion when new empty patches are available (e.g. as a
result of climate change).