Examples
Examples
Try the starting example
- Well responses
- 0.1,0.3,0.6,0.9
- Low-control replicate readings
- 0.1,0.12
- High-control replicate readings
- 0.9,0.92
- Normalized response (%)
- [-1.25,23.75,61.25,98.75]
- Control means and dynamic span
- [0.11,0.91,0.8]
Try another scenario
- Well responses
- [0.2, 0.4, 0.7, 1]
- Low-control replicate readings
- [0.1, 0.12]
- High-control replicate readings
- [0.9, 0.92]
- Normalized response (%)
- [11.25,36.25,73.75,111.25]
- Control means and dynamic span
- [0.11,0.91,0.8]
Calculation method
Calculation method
Normalized response (%)
100(well−mean low)/(mean high−mean low); values outside0–100 preserved.
Control means and dynamic span
[low mean,high mean,span]; zero or negative span rejected.
Symbols and units
- a
- Well responses
- b
- Low-control replicate readings
- c
- High-control replicate readings
Use the units shown. A list keeps the order in which you enter its values. The symbol ^ means “raised to the power of”.
Assumptions & limits
Assumptions & limits
- Well responses, control wells, supplied normalization rule. Returns Normalized responses and control checks. All coefficients and observations are user supplied; results describe only the stated mathematical model. Quantities are deterministic calculations from supplied observations and assumptions; no external data is fetched. Supported limits: Finite inputs only; numeric fields bounded as labelled. Lists and JSON records are limited to 256 entries unless a stricter tool bound is stated. No automatic design approval, legal conclusion, treatment recommendation or safety certification. Well responses: minimum None, maximum 1000000000000.0. Low-control replicate readings: minimum None, maximum 1000000000000.0. High-control replicate readings: minimum None, maximum 1000000000000.0.
Are these inputs private?
These calculations run in your browser. A shared link contains the values you choose to share. Only questions submitted to the separate AI finder are sent to OpenAI.