Bulk mRNA-sequencing data of the estrogen and androgen responses in the human prostate cancer cell line VCaP
Bibliographic record
Abstract
Prostate cancer is a hormone-dependent disease that relies on the androgen signaling, as well as on the estrogen signaling, for growth and survival. To identify the genes regulated by these sex-steroid hormones in the human prostate cancer cell line VCaP, these cells were treated for 24 h with either androgens and/or estrogens. Then, the RNA of each sample was purified for sequencing to generate bulk mRNA-seq data. After verifying raw quality, reads were pseudo-aligned on the human reference transcriptome (Gencode v27). Analysis was carried out on aligned and quantified data to determine the transcriptomic changes following each hormonal treatment. These data presented herein can be reanalyzed with specific fold-change thresholds for gene expression, or with different pair-wise combinations to compare the hormones' transcriptional impacts on VCaP cells and better understand prostate cancer cell biology.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".