Description
Return left-right somite count asymmetry.
Developmental biological models connect supplied dimensions, counts and growth factors under explicit geometry and sampling assumptions. A local asymmetry or inferred duration is not direct evidence of cell fate, mechanism or abnormal development.
Return left-right somite count asymmetry.
When to use this tool
Use Somite Count Left Right Difference when checking one supplied tissue, count or growth-model contribution.
How to use the tool and how it works
- Enter left, right. Use the units and conventions below.
- Run the tool. Correct any format, range, or cross-field input error before interpreting the output.
- Read total, signedDifference, asymmetry. Use the output convention below.
Return left-right somite count asymmetry. Require nonnegative whole counts with positive total; signedDifference = left-right and asymmetry = difference/total.1
| Input field | Meaning and units | Accepted input |
|---|---|---|
| left | Left | Required. Safe integer; minimum 0. |
| right | Right | Required. Safe integer; minimum 0. |
| Output field | Interpretation | Returned shape |
|---|---|---|
| total | Total | Required. Safe integer. |
| signedDifference | Signed Difference | Required. Safe integer. |
| asymmetry | Asymmetry | Required. Finite number. |
{
"input": {
"left": 12,
"right": 10
},
"output": {
"total": 22,
"signedDifference": 2,
"asymmetry": 0.09090909090909091
}
}Limitations and assumptions
- The dimensionless index is descriptive, not an assessment of abnormal development or counting accuracy.
- 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 appropriate biological observations and a complete validated model for developmental interpretation or experimental inference.
References
Similar or alternative tools
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