Description
Compare supplied cell-state probability mass with a target.
Computational biology distinguishes discrete counts, probabilistic weights, sequence indexes and logical rules. A supplied event or record flag can be summarized without simulating a stochastic process, validating a sequence annotation or establishing a biological mechanism.
Compare supplied cell-state probability mass with a target.
When to use this tool
Use Cell State Probability Mass Gap when checking the stated count, sequence, Boolean-rule or support convention.
How to use the tool and how it works
- Enter probabilities, expectedMass. Use the units and conventions below.
- Run the tool. Correct any format, range, or cross-field input error before interpreting the output.
- Read mass, gap. Use the output convention below.
Compare supplied cell-state probability mass with a target. Require each probability and expectedMass in [0,1]; mass = sum(probabilities), gap = mass-expectedMass.1
| Input field | Meaning and units | Accepted input |
|---|---|---|
| probabilities | Probabilities | Required. Array of finite number; maximum items 256. |
| expectedMass | Expected Mass | Required. Finite number; minimum 0; maximum 1. |
| Output field | Interpretation | Returned shape |
|---|---|---|
| mass | Mass | Required. Finite number. |
| gap | Signed difference under the stated comparison convention, with matching units. | Required. Finite number. |
{
"input": {
"probabilities": [
0.25,
0.5
],
"expectedMass": 1
},
"output": {
"mass": 0.75,
"gap": -0.25
}
}Limitations and assumptions
- Total mass can exceed one and is not normalized; no complete stochastic transition model is validated.
- Inputs must satisfy both the field types and the cross-field conditions above. Invalid input causes an error; a successful false flag or documented placeholder is a different result.
- Numeric calculations use binary floating point unless exact decimal-integer arithmetic is explicitly stated. No hidden measurement tolerance or decimal rounding is added; nonfinite or out-of-contract results are rejected. Numeric signed-zero results are exported as zero.
Alternative or Complementary methods
Use the complete sequence, identifier universe or stochastic/logical model for actual inference, sampling and uncertainty analysis.
References
Similar or alternative tools
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