Additional file 1 of Polycomb contraction differentially regulates terminal human hematopoietic differentiation programs
Bibliographic record
Abstract
Additional file 1: Fig. S1 to 8. Fig S1 - Sorting strategy for hematopoietic populations profiled in this study. Fig S2 - Progenitor populations possess unique expression profiles. Fig S3 - H3K27me3 promoter density signatures are conserved across progenitor populations. Fig S4 - H3K27me3 LOCKs lost during myeloid differentiation are associated with LADs in CD34+ progenitor cells. Fig S5 - BMI1 loss reduces genome-wide levels of H3K27me3. Fig S6 - Enhancers dynamics in erythroid precursor, monocyte and differentiated lymphoid cells. Fig S7 - Lineage-specific enhancers are marked by H3K27ac in hematopoietic progenitor subsets. Fig S8 - Lineage specific enhancers harbor lineage specific TF binding site are marked with H3K27ac in progenitor population.
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 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.882 | 0.217 |
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".