Description
Preserve explicit biological time-course censoring metadata.
Computational biology models distinguish counts, rates, reaction orders, stoichiometric signs and state constraints. A volume-scaling factor is only one component of a stochastic propensity, and a supplied flux bound is separate from a feasible network solution. Bookkeeping balances do not infer unobserved biological states or validate a model.
Preserve explicit biological time-course censoring metadata.
When to use this tool
Use Time Course Observation Censor Token when you already have seriesId, timeText, suppliedCensorCode and need to preserve explicit biological time-course censoring metadata.
How to use the tool and how it works
- Enter seriesId, timeText, suppliedCensorCode. Use the units and conventions below.
- Run the tool. Correct any format, range, or cross-field input error before interpreting the output.
- Read token. Use the output convention below.
Enter seriesId, timeText, suppliedCensorCode using the field constraints below. Encode these values, in exactly that order, as a JSON array and return the serialized array as text in token. String values are preserved without trimming or external terminology lookup.1
| Input field | Meaning and units | Accepted input |
|---|---|---|
| seriesId | Series Id | Required. Text; minimum UTF-16 length 1; maximum UTF-16 length 8192. |
| timeText | Time Text | Required. Text; minimum UTF-16 length 1; maximum UTF-16 length 8192. |
| suppliedCensorCode | Supplied Censor Code | Required. Text; minimum UTF-16 length 1; maximum UTF-16 length 8192. |
| Output field | Interpretation | Returned shape |
|---|---|---|
| token | Token | Required. Text; maximum UTF-16 length 8192. |
{
"input": {
"seriesId": "S17",
"timeText": "12 min",
"suppliedCensorCode": "left-censored"
},
"output": {
"token": "[\"S17\",\"12 min\",\"left-censored\"]"
}
}Limitations and assumptions
- The result records supplied values without imputing values. Sources and asserted relationships are not independently authenticated.
- 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.
Alternative or Complementary methods
Check the full model definition, data provenance, reaction conventions and numerical implementation. Use complete network, stochastic or population analyses when needed; local count balances, priorities and bound checks cannot establish biological mechanisms or model adequacy.
References
Similar or alternative tools
- Reaction Rate Temperature Reference Label
Record explicit reaction-rate reference temperature metadata.
- Model Observation Normalized Time Point
Normalize a supplied observation time relative to a model start.