Additional file 30 of Proteogenomic insights into the biology and treatment of pancreatic ductal adenocarcinoma
Bibliographic record
Abstract
Additional file 30: Table S8. HOGA1 inactivation promotes pancreatic cancer growth through activating LARP7-CDK1 pathway. Table S8A Quantified western blot results of 12 pairs of samples. Table S8B Proliferation of PANC-1 and BxPC-3 cells associated with HOGA1 knocked down. Table S8C Proliferation of PANC-1 and BxPC-3 cells associated with HOGA1 overexpressed. Table S8D Proliferation of PANC-1 and BxPC-3 cells associated with metabolic enzyme treatment. Table S8E A list of 773 different proteins detected in PANC-1 cells. Table S8F GO term category of HOGA1 interacting proteins in cultured PANC-1 cells. Table S8G LARP7 mRNA levels in PANC-1 cells with various treatments. Table S8H The percentage of G2/M phase cells in PANC-1 cells. Table S8I Tumor weight of indicated PANC-1 cells subcutaneously injected into nude mice. Table S8J MS matrix of protein groups and their relative intensities in WT, HOGA1 KD and HOGA1 OE groups. Table S8K GO term category of proteins upregulated in HOGA1 KD group and downregulated in HOGA1 OE group.
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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 | 0.009 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.346 | 0.096 |
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".