Genotyping of Single Nucleotide Polymorphisms by Arrayed Primer Extension
Bibliographic record
Abstract
Although the majority of microarray studies have been directed toward RNA expression profiling (functional genomics) and increasingly toward proteomics, a steady increase in the use of microarrays as platforms for DNA genotyping has occurred over the past 5 yr. Multiple array-based chemistries have been developed in order to genotype single nucleotide polymorphisms. Conceptually, the simplest of these microarray genotyping technologies is based on the dideoxynucleotide chemistry of mini-sequencing by arrayed primer extension, whereby oligonucleotide probes (preprinted on the array) are extended by a single nucleotide base. This enzyme-catalyzed single base extension reaction is dependent on the sequence (genotype) of the template nucleic acid (sample) that is temporarily hybridized to the probes. Utilization of all four dideoxynucleotides, each conjugated to a different fluorophore, allows genotyping by spectral differentiation of the single base extension reaction products.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".