Additional file 1 of Population transcriptomic analysis identifies the comprehensive lncRNAs landscape of spike in wheat (Triticum aestivum L.)
Bibliographic record
Abstract
Additional file 1: Table S1. Summary of all lncRNAs. Table S2. Summary of all lncRNA-mRNA pairs. Table S3. GO and KEGG enrichment of all target mRNAs. Table S4. Homologous lncRNAs between wheat and other species. Table S5. Sequence conservation of wheat lncRNAs based on results of whole-genome alignment. Table S6. Message of samples in population analysis. Table S7. Nucleotide diversity in each group. Table S8. Detail information of haplotype in lncRNA or target mRNA. (Yellow annotation indicates that gene has different haplotypes in different populations). Table S9. Interrelationship of ceRNA network between lncRNA, miRNA and mRNA. Table S10. Overlap between lncRNA or target mRNA and GWAS signals. Table S11. Overlap between lncRNA or target mRNA and known QTLs. Table S12. Overlap between lncRNA or target mRNA and introgression regions. Table S13. Information of 93 wheat lines. Table S14. Primers used for qRT-PCR analysis.
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 | 0.006 |
| 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) | 0.357 | 0.065 |
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".