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Flag per-sample missingness and low call-rate problems.
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Basé sur la classification professionnelle SOC
Compare scientific variables with units, ranges, and quality caveats.
Inspect dataset structure before analysis or visualization.
Evaluate data quality from observed structure and summary evidence.
Choose visual checks that match the inspected data.
Route dataset questions to structure, analysis, or visualization experts.
Choose a plot that confirms numeric conversion integrity.
| name | flag_sample_missingness |
| title | Flag Sample Missingness |
| description | Flag per-sample missingness and low call-rate problems. |
Use this skill to interpret call rate and missing genotype evidence. Flag samples with low call rate, high missingness, or missingness patterns that differ strongly from the cohort.
Preserve sample IDs exactly and distinguish sample-level from site-level issues.
