c(
person(
given = "Wei",
family = "Su",
role = c("aut", "cre"),
email = "swsoyee@gmail.com",
comment = c(ORCID = "0000-0002-9302-5332")
),
person(
given = "Lars",
family = "Jung",
role = c("aut", "cph"),
comment = "pagemap library in htmlwidgets/lib, https://github.com/lrsjng/pagemap")
)
Wei Su [aut, cre] (<https://orcid.org/0000-0002-9302-5332>),
Lars Jung [aut, cph] (pagemap library in htmlwidgets/lib,
https://github.com/lrsjng/pagemap)

A simple way to add page numbers to base/ggplot/lattice graphics.

ggplot2, knitr, lattice, rmarkdown, testthat

An API Client for Wikimedia Traffic Data
Pageview data from the 'Wikimedia' sites, such as 'Wikipedia' (https://www.wikipedia.org/), from entire projects to per-article
levels of granularity, through the new RESTful API and data source (https://wikimedia.org/api/rest_v1/?doc).
testthat, knitr, rmarkdown, WikipediR, WikidataR

Pageview data from the 'Wikimedia' sites, such as
'Wikipedia' (https://www.wikipedia.org/), from entire projects to per-article
levels of granularity, through the new RESTful API and data source (https://
wikimedia.org/api/rest_v1/?doc).

Oliver Keyes [aut, cre], Jeremiah Lewis [ctb]
Pageview data from the 'Wikimedia' sites, such as
'Wikipedia' <https://www.wikipedia.org/>, from entire projects to per-article
levels of granularity, through the new RESTful API and data source <https://
wikimedia.org/api/rest_v1/?doc>.

Os Keyes [aut, cre], Jeremiah Lewis [ctb]
Pageview data from the 'Wikimedia' sites, such as
'Wikipedia' <https://www.wikipedia.org/>, from entire projects to per-article
levels of granularity, through the new RESTful API and data source <https://wikimedia.org/api/rest_v1/?doc>.

Single Cell Analysis and Differential Expression
c(person("Nikolas","Barkas", email="nikolas_barkas@hms.harvard.edu", role="aut"), person("Viktor", "Petukhov", email="viktor.s.petuhov@ya.ru", role="aut"), person("Peter", "Kharchenko", email = "peter_kharchenko@hms.harvard.edu", role = "aut"), person("Simon", "Steiger", email = "simon.steiger@gmail.com", role = "ctb"), person("Evan", "Biederstedt", email="evan.biederstedt@gmail.com", role=c("cre", "aut")))
Analyzing and interactively exploring large-scale single-cell RNA-seq datasets. 'pagoda2' primarily performs normalization and differential gene expression analysis, with an interactive application for exploring single-cell RNA-seq datasets. It performs basic tasks such as cell size normalization, gene variance normalization, and can be used to identify subpopulations and run differential expression within individual samples. 'pagoda2' was written to rapidly process modern large-scale scRNAseq datasets of approximately 1e6 cells. The companion web application allows users to explore which gene expression patterns form the different subpopulations within your data. The package also serves as the primary method for preprocessing data for Conos, <https://github.com/kharchenkolab/conos>. This package interacts with data available through the 'p2data' package, which is available in a 'drat' repository. To access this data package, see the instructions at <https://github.com/kharchenkolab/pagoda2>. The size of the 'p2data' package is approximately 6 MB.
See the file COPYRIGHTS for various pagoda2 copyright
details
dendsort, drat, fastcluster, graphics, grDevices, irlba,
magrittr, MASS, mgcv, methods, N2R, parallel, plyr, R.utils,
Rcpp, rjson, rlang, R6, RMTstat, Rook, Rtsne, sccore (>=
0.1.1), stats, urltools, utils
AnnotationDbi, base64enc, BiocGenerics, BiocParallel,
colorRamps, data.table, dbscan, dplyr, ggplot2, GO.db,
gridExtra, KernSmooth, knitr, org.Dr.eg.db, org.Hs.eg.db,
org.Mm.eg.db, p2data, pcaMethods, pheatmap, rgl, rmarkdown,
robustbase, scde, testthat, uwot
Nikolas Barkas [aut],
Viktor Petukhov [aut],
Peter Kharchenko [aut],
Simon Steiger [ctb],
Evan Biederstedt [cre, aut]