Research service 1
Characterise response.
Explore the transcriptomic profiles associated with response or resistance to a candidate treatment, in the data available to you or in public cohorts.
Questions it answers
- Which molecular profiles are associated with response or resistance?
- Do subgroups behave differently, and how robust is that difference?
- Which experiments or cohorts would test the hypothesis next?
What we need from you
- Bulk RNA-seq (counts or normalised expression) with sample identifiers
- Treatment and response annotations, or a defined response criterion
- Available clinical or experimental metadata (pseudonymised)
What you receive
- Response-associated profiles and subgroups, with effect sizes and uncertainty
- Sensitivity analyses and confounder checks
- Publication-quality figures and an interpretation report
- Limits of the analysis and proposed validation steps
Example report outline
Illustrative example — fictitious content, not Recanthia results.
- 1. Question and response definition
- 2. Cohort description and quality control
- 3. Regulatory programmes associated with response (exploratory)
- 4. Robustness: resampling, covariates, alternative definitions
- 5. Hypotheses ranked by evidence, and suggested validations
How a project runs
Scoping, feasibility, analysis, interpretation and delivery — each step agreed with you. See our method and data practices →
Turnaround and price are agreed during scoping, depending on the data and the question. See an example report on synthetic data →
Results are research hypotheses. They are not a diagnosis, a clinical recommendation or a validated predictive test.
Discuss a pilot like this
Tell us about your candidate, data and question. We will come back with a scoping proposal.