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:
Downloads:
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