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Additional file 7 of ReaGP: integrating residual units and attention mechanisms in convolution neural network for genomic prediction

NIAID Data Ecosystem2026-05-10 收录

基因组预测

数据链接：

https://figshare.com/articles/dataset/Additional_file_7_of_ReaGP_integrating_residual_units_and_attention_mechanisms_in_convolution_neural_network_for_genomic_prediction/31063024 数据链接链接失效反馈

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资源简介：

Supplementary Material 7

应用场景：

创建时间：

2026-01-13

基因组预测

遗传改良

These data correspond to the phenotypic and genomic datafiles used for the paper entitled "Optimization of multi-generation multi-location genomic prediction models for recurrent genomic selection in

DataCite Commons2024-06-13 更新110

Supplementary material: Genomic predictions of mastitis-related traits in early lactation of first lactation dairy heifers using single-step genomic approach

乳腺炎

基因组预测

Supplementary material for Genomic predictions of mastitis-related traits in early lactation of first lactating dairy heifers using single-step genomic approach

DataONE2023-11-06 更新80

Table_4_Detecting the QTL-Allele System of Seed Oil Traits Using Multi-Locus Genome-Wide Association Analysis for Population Characterization and Optimal Cross Prediction in Soybean.XLSX

大豆油品质QTL定位

基因组预测

Soybean is one of the world's major vegetative oil sources, while oleic acid and linolenic acid content are the major quality traits of soybean oil. The restricted two-stage multi-locus genome-wide as

NIAID Data Ecosystem30

Data_Sheet_3_Genomic Prediction of Yield Traits in Single-Cross Hybrid Rice (Oryza sativa L.).docx

基因组预测

水稻育种

Hybrid rice varieties can outyield the best inbred varieties by 15 – 30% with appropriate management. However, hybrid rice requires more inputs and management than inbred rice to realize a yield advan

NIAID Data Ecosystem90

Performance on the VEST-indel test set for frameshift variations.

基因组预测

移码功能评估

Performance on the VEST-indel test set for frameshift variations.

NIAID Data Ecosystem50