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Stochastic Propensity Noninteger Flag Tool

Validate the supplied count domain for a combinatorial propensity term without simulating a reaction.

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Description

Check population suitability for a supplied combinatorial order.

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.

Check population suitability for a supplied combinatorial order.

When to use this tool

Use Stochastic Propensity Noninteger Flag when checking the stated count, sequence, Boolean-rule or support convention.

How to use the tool and how it works

  1. Enter population, combinatorialOrder. Use the units and conventions below.
  2. Run the tool. Correct any format, range, or cross-field input error before interpreting the output.
  3. Read nonnegativeInteger, sufficientPopulation. Inspect nonnegativeInteger, sufficientPopulation before interpreting the associated values.

Check population suitability for a supplied combinatorial order. Require nonnegative whole combinatorialOrder; nonnegativeInteger checks safe whole population >= 0, sufficientPopulation checks safe whole population >= order.1

Input fieldMeaning and unitsAccepted input
populationPopulationRequired. Finite number.
combinatorialOrderCombinatorial OrderRequired. Safe integer; minimum 0.
Output fieldInterpretationReturned shape
nonnegativeIntegerNonnegative IntegerRequired. Boolean.
sufficientPopulationSufficient PopulationRequired. Boolean.
json
{
  "input": {
    "population": 2.5,
    "combinatorialOrder": 2
  },
  "output": {
    "nonnegativeInteger": false,
    "sufficientPopulation": false
  }
}

Limitations and assumptions

  • A false flag is a successful result; no reaction propensity, species count or stochastic simulation is generated.
  • 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

  1. Calculation and input contract: computational-biology/stochastic-propensity-noninteger-flag — tool.io

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