highSCREEN: High-Throughput Screening for Plate Based Essays

Can be used to carry out extraction, normalization, quality control (QC), candidate hits identification and visualization for plate based assays, in drug discovery. The package methods were applied in H. W. Choi et al. "Identification of Novel Mast Cell Activators Using Cell-Based High-Throughput Screening", SLAS Discovery 24(6), 2019. This project was funded by the Division of Allergy, Immunology, and Transplantation, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Department of Health and Human Services, under contract No. HHSN272201400054C entitled "Adjuvant Discovery For Vaccines Against West Nile Virus and Influenza", awarded to Duke University and lead by Drs. Herman Staats and Soman Abraham.

Version: 0.4
Depends: R (≥ 3.4.0), gplots (≥ 3.0.1)
Suggests: knitr
Published: 2021-02-12
Author: Ivo D. Shterev [aut, cre], Cliburn Chan [aut], Gregory D. Sempowski [aut]
Maintainer: Ivo D. Shterev <i.shterev at gmail.com>
License: GPL-3
NeedsCompilation: no
Materials: NEWS
CRAN checks: highSCREEN results


Reference manual: highSCREEN.pdf
Vignettes: highSCREEN manual


Package source: highSCREEN_0.4.tar.gz
Windows binaries: r-devel: highSCREEN_0.4.zip, r-release: highSCREEN_0.4.zip, r-oldrel: highSCREEN_0.4.zip
macOS binaries: r-release (arm64): highSCREEN_0.4.tgz, r-oldrel (arm64): highSCREEN_0.4.tgz, r-release (x86_64): highSCREEN_0.4.tgz
Old sources: highSCREEN archive


Please use the canonical form https://CRAN.R-project.org/package=highSCREEN to link to this page.