Additional file 1 of DNA methylation during human adipogenesis and the impact of fructose
Bibliographic record
Abstract
Additional file 1: Figure S1. Methylation patterns during differentiation for the 20 genes showing significant methylation changes both at 192 and 384 hours. To better inspect the patterns, genes are separated in four panels. Dots define averaged β-values for each time-point, while different colors represent different genes. Figure S2. Methylation patterns during differentiation for the 20 genes significantly methylated/expressed at 192 hours (but not at 384 hours) which methylation levels return to the baseline at 384 hours. For each panel, mean β-values at each time point are represented by dots. Different colors represent different genes. Figure S3. Distribution of the average beta-values for the DMRs on DEGs at 384 hours. β-values of DMRs that show anti-correlated changes in methylation and gene expression are depicted in pink. The blue curve describes instead the distribution of β-values for DMRs showing the same direction of regulation in methylation and gene expression levels.
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 | 0.001 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.884 | 0.201 |
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".