IDR Consistency

Check replicate consistency from IDR values.

Description

IDR consistency summarizes values already estimated by a statistical pipeline.

IDR consistency summarizes values already estimated by a statistical pipeline.1

Check replicate consistency from IDR values.

When to use IDR Consistency

Use this tool to check replicate consistency from IDR values.

Prepare the already measured signals, counts, coordinates, fitted coefficients or sequence strings requested. Keep assay definitions, units, aligned lists and caller-selected thresholds consistent.

How to use IDR Consistency and understand its results

  1. Prepare the already measured signals, counts, coordinates, fitted coefficients or sequence strings requested. Keep assay definitions, units, aligned lists and caller-selected thresholds consistent.
  2. Enter idrValues, maximumIdr, minimumPassingPercent using the field table and calculation rules, then run the tool.
  3. Read passingCount, passingPercent, consistent. The explanation below defines the units, signs, ordering and any flags or placeholder values.
  4. If the tool reports an input issue, correct the values and run it again. Apply the stated assumptions when interpreting a successfully returned result.
Input fieldMeaningValue type; see rules belowRequirement
idrValuesIrreproducible discovery rateslist of numberRequired
maximumIdrMaximum passing IDRnumber; minimum: 0; maximum: 1Required
minimumPassingPercentMinimum passing sharenumber; minimum: 0; maximum: 100Required

Enter nonempty IDR values and cutoff 0–1 and a required passing percentage 0–100. Return passing count, percentage and inclusive consistency flag.

passingPercent=100count(IDR≤maximumIdr)/n; consistent=passingPercent≥minimumPassingPercent

Units, indexing, boundary conditions and exceptional cases are defined in the calculation rules above.

Output fieldMeaningValue type
passingCountPassing discoveriesinteger; minimum: 0
passingPercentPassing discovery sharenumber; minimum: 0; maximum: 100
consistentMeets supplied consistency thresholdboolean
json
{
  "input": {
    "idrValues": [
      0.01,
      0.02,
      0.2,
      0.03
    ],
    "maximumIdr": 0.05,
    "minimumPassingPercent": 70
  },
  "output": {
    "passingCount": 3,
    "passingPercent": 75,
    "consistent": true
  }
}

Limitations and assumptions

No peak matching, ranking or IDR model is fitted.

Numeric inputs, where present, must be finite. Follow the calculation-specific rules for overflow, underflow and exceptional cases. Lists are limited to 100,000 entries; the rules above may require smaller limits. Missing required fields, extra fields, wrong value types and violations of the calculation rules are input errors. A successfully returned false flag is an evaluated outcome; its meaning is explained above.

Alternative or Complementary methods

Use Replicate Concordance: Calculate biological-replicate Pearson concordance and gate status. For a complementary task, use Probe Pvalue Filter: Exclude methylation probes failing a detection p-value threshold.

References

  1. IDR Consistency — tool.io

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