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Record W4394434504 · doi:10.6084/m9.figshare.21176068

Additional file 1 of Population transcriptomic analysis identifies the comprehensive lncRNAs landscape of spike in wheat (Triticum aestivum L.)

2022· dataset· en· W4394434504 on OpenAlexaff
Guang Yang, Pingchuan Deng, Qifan Guo, Tingrui Shi, Wenqiu Pan, Licao Cui, Xiaoqin Liu, Xiaojun Nie

Bibliographic record

VenueOpen MIND · 2022
Typedataset
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPlant and Fungal Interactions Research
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsSpike (software development)PopulationBiologyTranscriptomeGeographyComputer scienceGeneticsGeneMedicineGene expression

Abstract

fetched live from OpenAlex

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.357
Threshold uncertainty score0.917

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.3570.065

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.

Opus teacher head0.029
GPT teacher head0.318
Teacher spread0.289 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designNot applicable
Domainnot available
GenreDataset

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".

Quick stats

Citations0
Published2022
Admission routes1
Has abstractyes

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Same venueOpen MINDSame topicPlant and Fungal Interactions ResearchFrench-language works237,207