Donor specific transcriptomic analysis of Alzheimer's disease associated hypometabolism highlights a unique donor, microglia, and ribosomal proteins
Bibliographic record
Abstract
Supplement data and figures from "Donor specific transcriptomic analysis of Alzheimer's disease associated hypometabolism highlights a unique donor, microglia, and ribosomal proteins" Preprint:https://www.biorxiv.org/content/10.1101/2019.12.23.887364v4 Github:https://github.com/leonfrench/AD-Allen-FDG Supplement Figure 1: Differential expression of ER translocation genes in microglia from individuals with Alzheimer’s disease. In the top row, ROC curves show the proportion of ER translocation genes (y-axis, true positive fraction) across the genes tested for differential expression in microglia. The tested genes were ranked from the most overexpressed in early-pathology compared to no-pathology (A) and overexpressed in late-pathology compared to early-pathology (B). Subpanels C and D show the corresponding distributions with a black lines marking ER translocation genes across the differential expression rankings.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.039 | 0.025 |
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".