Clonal Distance Classifier

Classify methylation-derived clonal distance.

Description

Clonal-distance categories compare a supplied distance against chosen boundaries.

Clonal-distance categories compare a supplied distance against chosen boundaries.1

Classify methylation-derived clonal distance.

When to use Clonal Distance Classifier

Use this tool to classify methylation-derived clonal distance.

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 Clonal Distance Classifier 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 methylationDistance, clonalThreshold, relatedThreshold using the field table and calculation rules, then run the tool.
  3. Read clonalMargin, relationship. 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
methylationDistanceMethylation distancenumber; minimum: 0Required
clonalThresholdClonal thresholdnumber; minimum: 0Required
relatedThresholdRelated thresholdnumber; minimum: 0Required

Enter nonnegative distance/ordered limits; return class and signed clonal margin.

≤clonal→clonal; ≤related→related; else distant

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

Output fieldMeaningValue type
clonalMarginClonal threshold marginnumber
relationshipRelationshipstring; one of "clonal", "related", "distant"
json
{
  "input": {
    "methylationDistance": 0.1,
    "clonalThreshold": 0.2,
    "relatedThreshold": 0.5
  },
  "output": {
    "clonalMargin": 0.1,
    "relationship": "clonal"
  }
}

Limitations and assumptions

No lineage or biological clonality is established.

Numeric inputs, where present, must be finite. Follow the calculation-specific rules for overflow, underflow and exceptional cases. Missing required fields, extra fields, wrong value types and violations of the calculation rules are input errors.

Alternative or Complementary methods

Use Methylation Haplotype Tally: Tally methylation haplotypes across phased binary reads. For a complementary task, use Epimutation Rate: Estimate epimutation rate per site and generation.

References

  1. Clonal Distance Classifier — tool.io

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