Additional file 20 of TSABL: Trait Specific Annotation Based Locus predictor

NIAID Data Ecosystem2026-03-13 收录

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Additional file 20: Table S20. BMI training.

创建时间：

2022-06-15

Data from: Modern pollen rain predicts shifts in plant trait composition but ...

花粉生态学

性状预测

We used 82 modern pollen samples and 59 vegetation plots along the elevation gradient, and calculated CWM traits and diversity indices for each pollen sample and vegetation...

B2FIND40

Summary of statistics for testing of the MDP model for prediction of leaf morphogenetic traits and forage nutritive value of tall fescue- and ryegrass-based pasture.

性状预测

饲料质量评估

Mean, standard deviation (SD), mean bias, root mean square error (RMSE), relative error (RE), coefficient of the regression (R2) and Pearson correlation coefficient (r) for leaf length (cm), leaf stag

NIAID Data Ecosystem30

Pearson’s correlations among the predicted trait means under Psuf (lower diagonal) and Pdef (upper diagonal) conditions.

性状预测

条件分析

The diagonal values (bold) are the correlations between the P levels.

Figshare2017-08-19 更新20

Comprehensive Analyses of 723 Transcriptomes Enhance GWAS Biological Interpretation and Genomic Prediction for Complex Traits in Cattle. Comprehensive Analyses of 723 Transcriptomes Enhance GWAS Biological Interpretation and Genomic Prediction for Complex Traits in Cattle

牛群基因组学

性状预测

In this study, we generated 94 RNA-seq data that were colloced from different tissues in Hereford cow (L1 Dominette 01449) and its relatives. By combining these RNA-seq data with our other data and pu

NIAID Data Ecosystem30

Additional file 5 of Prediction of fruit characteristics of grafted plants of Camellia oleifera by deep neural networks

性状预测

深度学习建模

Additional file 5: Table S5 The MAPE values and R2 based on the validation and testing sets of the 12 characteristics in the RF mode

Figshare2024-08-14 更新20