diffHTS: Differential Drug Sensitivity Analysis for Two-Condition High-Throughput Screens

A complete workflow for large-scale, two-condition high-throughput drug screening (HTS). It compares drug sensitivity between any two experimental conditions - for example irradiated versus non-irradiated cells, cancer versus normal cell lines, or treated versus untreated samples - across many plates and experiments. The package covers the full pipeline: control-based normalisation, plate-level quality-control metrics (Z-factor, Z-prime, signal-to-background, signal-to-noise and strictly standardised mean difference), replicate-consistency checks, four-parameter logistic dose-response fitting with area under the curve (AUC) estimation, differential (delta) AUC scoring with within-plate standardisation, cut-off and sigma-based hit selection, and publication-ready heatmap, scatter and quality-control visualisations.

Version:	0.1.0
Depends:	R (≥ 4.1)
Imports:	tidyr, rlang, ggplot2, graphics, stats, utils
Suggests:	ComplexHeatmap, circlize, ggprism, ggrepel, grid, readxl, testthat (≥ 3.0.0), knitr, rmarkdown
Published:	2026-07-28
DOI:	10.32614/CRAN.package.diffHTS (may not be active yet)
Author:	Liang Tang [aut, cre]
Maintainer:	Liang Tang <xphdtangliang at gmail.com>
License:	GPL-3
NeedsCompilation:	no
Materials:	README
CRAN checks:	diffHTS results

Documentation:

Reference manual:	diffHTS.html , diffHTS.pdf
Vignettes:	Analysing a two-condition drug screen with diffHTS (source, R code)

Downloads:

Package source:	diffHTS_0.1.0.tar.gz
Windows binaries:	r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries:	r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available

Linking:

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