Correlations of microRNA:microRNA expression patterns reveal insights into microRNA clusters and global microRNA expression patterns
Bibliographic record
Abstract
MicroiRNAs are genome encoded small double stranded RNAs that regulate expression of homologous mRNAs. With approximately 2500 human miRNAs and each having hundreds of potential mRNA targets, miRNA based gene regulation is quite pervasive in both development and disease. While there are numerous studies investigating miRNA:mRNA and miRNA:protein target expression correlations, there are relatively few studies of miRNA:miRNA co-expression. Here we report on our analysis of miRNA:miRNA co-expression using expression data from the miRNA expression atlas of Landgraf et al. Our analysis indicates that many, but not all, genomically clustered miRNAs are co-expressed as a single pri-miRNA transcript. We have also identified co-expression groups that have similar biological activity. Further, the non-correlative miRNAs we have uncovered have been shown to be of utility in establishing miRNA biomarkers and signatures for certain tumours and cancers.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".