Additional file 2 of Risk-focused differences in molecular processes implicated in SARS-CoV-2 infection: corollaries in DNA methylation and gene expression
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Additional file 2: Fig S1. Violin plots of sex-biased gene expression in NLRP2. Expression in blood was quantified as transcript counts (GTEx). Fig S2. Violin plots of sex-biased gene expression in XIST. (A)Expression in nasal epithelia was measured as log2 normalized values (GEO). (B)Expression in lung was quantified as transcript counts (GTEx). (C)Expression in blood was quantified as transcript counts (GTEx). Fig S3. Box plots of the three validated CpG sites (GPX1, ERC1 and TLE1) differentially methylated by sex in three tissues from the repeated exposure data set. Unadjusted DNA methylation values (β) were plotted on the y axis with CpG sites on the x axis. Genomic positions of the CpG sites are indicated below the respective plots. Fig S4. Box plots of the three validated CpG sites (GPX1, ERC1 and TLE1) differentially methylated by sex in blood. Unadjusted DNA methylation values (β) were plotted on the y axis against the CpG sites on the x axis, with genomic locations of the CpG sites plotted below the respective plots. Fig S5. Bar plots of age distributions in airway epithelia and nasal epithelia. Age group in years is indicated on the y axis while the x axis represents the number of males and females. Fig S6. Box plots of the three validated CpG sites (GPX1, ERC1 and TLE1) differentially methylated by sex across the age groups in airway epithelia and nasal epithelia. Unadjusted DNA methylation values (β) were plotted on the x axis with age groups in years on the y axis. Genomic positions of the CpG sites are represented below the respective plots. Fig S7. Box plots of the CpG sites that are differentially methylated by COVID-19 status in males (A) and in females (B). Unadjusted DNA methylation values (β) were plotted on the y axis and the box plots are colored by COVID-19 status.
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.
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 | 0.001 |
| 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.176 | 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 it