Utility of Array Comparative Genomic Hybridization in Cytogenetic Analysis
Bibliographic record
Abstract
Conventional comparative genomic hybridization (CGH), high-resolution oligonucleotide, and BAC array CGH have modernized the field of cytogenetics to enable access to unbalanced genomic aberrations such as whole or partial chromosomal gains and losses. The basic principle of array CGH involves hybridizing differentially labeled proband/test (e.g., tumor) and normal reference DNA on an array of oligonucleotide or BAC clones instead of normal metaphases as in conventional CGH. The sub-megabase resolution tiling BAC arrays are extremely useful for the analysis of acquired aberrations in cancer genomes. Array CGH can be extremely useful to identify the chromosomal makeup of marker and ring chromosomes, to define/delineate the precise location/bands involved in structural aberrations and the accurate localization of translocation breakpoints in both simple and complex karyotypes either alone or in combination with standard karyotype analysis.
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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 | 0.009 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 0.003 |
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".