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Additional file 2 of Improvement of prediction ability by integrating multi-omic datasets in barley

NIAID Data Ecosystem2026-03-13 收录

数据链接：

https://figshare.com/articles/dataset/Additional_file_2_of_Improvement_of_prediction_ability_by_integrating_multi-omic_datasets_in_barley/19351410 数据链接链接失效反馈

官方服务：

资源简介：

Additional file 2 Supplementary Table S1.

应用场景：

创建时间：

2022-03-12

性状预测

光谱分析

File List PLSR_Model_Coefficients.csv (MD5: f08d202ddec2d8250d8153cc56ffa0ab) Description The PLSR_Model_Coefficients.csv file is a comma-delimited file. It contains the resulting PLSR model coefficie

DataCite Commons2020-09-04 更新120

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40

Prediction accuracies of seven morphological traits in a switchgrass association panel.

性状预测

基因组选择

Standard errors of prediction accuracies are provided in parentheses.Mean prediction accuracies were obtained by averaging results across ridge regression best linear unbiased prediction (RR-BLUP), le

Figshare2015-12-02 更新20

Developing genomic tests to improve meat quality in Canadian beef cattle

牛基因组育种

性状预测

This project is developing genomic tools to predict meat quality, including beef tenderness in Canadian Beef Cattle. Through extensive phenotyping of thousands of animals for efficiency and meat quali

NIAID Data Ecosystem80

%Trait PCR predictions generated by applying the support vector machine method to nanopore data and also the 2nd degree calibration equation.

纳米孔测序数据

性状预测

%Trait PCR predictions generated by applying the support vector machine method to nanopore data and also the 2nd degree calibration equation.

Figshare2019-12-27 更新30