Sensitivity of Multiple Color Spectral Karyotyping in Detecting Small Interchromosomal Rearrangements
Bibliographic record
Abstract
Multiple color spectral karyotyping (SKY) has been proven to be a very useful tool for characterization of the complex rearrangements in cancer cells and the de novo constitutional structural abnormalities. The sensitivity of SKY in detecting interchromosomal alterations was assessed with 10 constitutional translocations involving subtelomeric regions. Among the 13 small segments tested, 9 were clearly visualized and 8 were unambiguously identified by SKY. Fluorescence in situ hybridizations (FISH) with subtelomeric probes confirmed the reciprocity in three of the four translocations in which a small segment was not detectable by SKY. On the basis of resolution level of G-banding and the information obtained from the FISH analysis, the minimum alteration that SKY can detect is estimated to be 1,000-2,000 kbp in size with the currently available probes. This study has demonstrated the power, but also the limitations, of SKY in detecting small interchromosomal alterations, particularly those in subtelomeric regions.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".