Analysis of Microarray Data of Rice EPAGRI 108 under Excess Fe Stress
Why this work is in the frame
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Bibliographic record
Abstract
Iron is one of the essential micronutrients to rice, but the accumulation of excessive ferrous salt in soil can cause toxicity. In this study, bioinformatics method was used to mine the data of Affymetrix rice gene expression microarray to study the differentially expressed genes of rice germplasm EPAGRI 108 under control and excess Fe conditions. The results revealed that 407 genes with more than two fold difference were identified. Compared to the control group, 330 genes were up regulated and 77 genes were down regulated under excess Fe stress. Gene Ontology and pathway analysis revealed that these differentially expressed genes were mainly involved in the biological processes such as oxidoreductase activity, glucose metabolism, amino acid metabolism, etc. Through these data analysis, we preliminarily explored the gene expression patterns of rice under excess Fe conditions, and provided a theoretical basis for further investgating the molecular mechanism tolerating for rice tolerance to Fe toxicity.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 it