Two-Dimensional DNA Electrophoresis (2D-DE) for Mammalian DNA
Bibliographic record
Abstract
Pulsed-field gel electrophoresis (PFGE) has been successfully used to generate physical maps of regions of human chromosomes near genes or single copy probes. However, many regions of the human genome contain gene families that often include pseudogenes. Other regions contain stretches of repeats. Conventional PFGE requires a series of single copy probes, which are sometimes difficult if not impossible to find for clusters of homologous genes or repeats. If probes detect several different genes that are dispersed on a chromosome, standard PFGE techniques will not be useful for the generation of large scale restriction maps. To overcome this problem, we have developed a method of two-dimensional DNA electrophoresis (2D-DE). The 2D-DE method consists of two DNA digestion steps and two electrophoretic separation steps (shown in Fig. 1)):
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".