DRomics provides a structured workflow for analyzing dose-response relationships in omics datasets, including microarray, RNA-seq, continuous omics, and anchoring data. The workflow covers data import and preprocessing, selection of significantly responsive items, dose-response model fitting, benchmark dose (BMD) calculation, and bootstrap confidence intervals.

What’s covered#

  • Format of data – identifiers, doses, and signal columns
  • Step 1 – import, check, and pretreatment (microarraydata(), RNAseqdata(), PCAdataplot())
  • Step 2 – selection of significantly responsive items (itemselect())
  • Step 3 – dose-response modelling (drcfit())
  • Step 4 – computation of benchmark doses (bmdcalc())
  • Step 5 – bootstrap confidence intervals (bmdboot())
  • Typical workflow script
  • BMD plot – bmdplot() and bmdplotwithgradient()
  • Trend plot – trendplot()
  • Sensitivity plot – sensitivityplot()
  • Dose-response curves plot – curvesplot()