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Comparison of Deep6mA, SNNRice6mA and MM-6mAPred based on 6mA-rice-Lv dataset.

Figshare2021-02-18 更新2026-04-28 收录

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https://figshare.com/articles/dataset/Comparison_of_Deep6mA_SNNRice6mA_and_MM-6mAPred_based_on_6mA-rice-Lv_dataset_/14057735 数据链接链接失效反馈

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Comparison of Deep6mA, SNNRice6mA and MM-6mAPred based on 6mA-rice-Lv dataset.

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创建时间：

2021-02-18

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贝叶斯统计

Three conventional Bayesian approaches (BayesA, BayesB and BayesCπ) have been demonstrated to be powerful in predicting genomic merit for complex traits in livestock. A priori, these Bayesian models

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GPTransformer: A transformer-based deep learning method for predicting Fusarium related traits in barley.. GPTransformer: A transformer-based deep learning method for predicting Fusarium related traits in barley.

基因组预测

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Fusarium head blight (FHB) incited by Fusarium graminearum Schwabe is a devastating disease of barley and other cereal crops worldwide. Fusarium head blight is associated with trichothecene mycotoxins

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基因组预测

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The prediction of breeding values and phenotypes is of central importance for both livestock and crop breeding. In this study, we analyze the use of artificial neural networks (ANN) and, in particular

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

基因组预测

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

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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

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Comparison of Deep6mA, SNNRice6mA and MM-6mAPred based on 6mA-rice-Lv dataset.

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