c(
person("Katharina", "Baum", , "katharina.baum@hpi.de", role = "cre",
comment = c(ORCID = "0000-0001-7256-0566")),
person("Pauline", "Hiort", , "pauline.hiort@hpi.de", role = "aut",
comment = c(ORCID = "0000-0002-3530-7358")),
person("Julian", "Hugo", , "julian.hugo@student.hpi.de", role = "aut",
comment = c(ORCID = "0000-0003-3355-1071")),
person("Spoorthi", "Kashyap", , "spoorthi.kashyap@student.hpi.de", role = "aut",
comment = c(ORCID = "0000-0002-5474-8183")),
person("Nataniel", "Müller", , "nataniel.mueller@student.hpi.de", role = "aut",
comment = c(ORCID = "0000-0002-0275-3992")),
person("Justus", "Zeinert", , "justus.zeinert@student.hpi.de", role = "aut",
comment = c(ORCID = "0000-0003-3918-0507"))
)
igraph, dplyr, stringr, WGCNA, Rfast, readr, tibble, tidyr,
magrittr, rlang, utils, stats, reticulate

Imputing Dropout Events in Single-Cell RNA-Sequencing Data
R codes for imputing dropout events. Many statistical methods in cell type identification, visualization and lineage reconstruction do not account for dropout events ('PCAreduce', 'SC3', 'PCA', 't-SNE', 'Monocle', 'TSCAN', etc). 'DrImpute' can improve the performance of such software by imputing dropout events.
Il-Youp Kwak with contributions from Wuming Gong
knitr, rmarkdown, devtools, roxygen2, irlba

Drug Repurposing: Integration and Systematic Investigation of
Genomic High Throughput Data
Jinyan Chan [aut, cre], Jinghua Gu [aut]
This is a connectivity mapping-based drug repurposing tool that identifies drugs that can potentially reverse query disease phenotype or have similar functions with query drugs.

Nils Reiter <nils.reiter@ims.uni-stuttgart.de>, Tim Strohmayer <st151528@stud.uni-stuttgart.de>
Analysis of preprocessed dramatic texts, with respect to literary research.
The package provides functions to analyse and visualise information about characters,
stage directions, the dramatic structure and the text itself.
The dramatic texts are expected to be in CSV format, which can be installed from within
the package, sample texts are provided. The package and the reasoning behind it are described in
Reiter et al. (2017) <doi:10.18420/in2017_119>.
testthat, fmsb, knitr, magrittr, highcharter, rmarkdown (>=
1.8), igraph (>= 1.1.2)