RECANTHIA

Back to home

Example report

What a report looks like.

A short, fictitious report showing how results, uncertainty and limits are presented. Every number on this page is synthetic.

Synthetic data — fictitious example. These are not Recanthia results, not real patients and not real genes.

1. Question

Which regulatory programmes are associated with response to candidate treatment X in a cohort of 120 synthetic tumour samples (60 responders, 60 non-responders)?

2. Cohort and quality control

  • 120 synthetic samples, 2 batches; 4 excluded after quality control
  • Response defined before analysis (binary, pre-registered in the analysis plan)
  • Covariates: batch, age group, prior treatment

3. Main result

00.40.81.21.6R01R02R03R04R05R06R07R08Standardised difference (responders vs non-responders)
Figure 1 — Difference in inferred activity between responders and non-responders (standardised effect, 95% interval). Synthetic regulators R01–R08.
  • R01–R03 show the largest differences, with intervals that exclude zero in this synthetic cohort.
  • R07–R08 are uncertain: their intervals are wide and close to zero.
  • Association is not causation: these are hypotheses to test experimentally.

4. Robustness

CheckR01R02R03
Resampling (1,000×)stablestablestable
Adjusted for batch and covariatesstableweakerstable
Alternative response definitionstablestableweaker

5. Limits

  • Single synthetic cohort; no independent validation
  • Possible residual confounding by treatment history
  • Inferred activity is an indirect measure of regulation

6. Proposed next steps

  • Replicate in an independent cohort with the same response definition
  • Functional test of R01 in two cell models
  • Refine the population estimate for the R01-high profile

Want a report like this on your data?