数据链接：
官方服务：
资源简介：
Trained model for the rrQNet. Datasets and software can be found at https://github.com/Bhattacharya-Lab/rrQNet
应用场景：
创建时间：
2022-07-02
相关数据集
Additional file 7: of A deep learning method to more accurately recall known lysine acetylation sites
Table 7. Detailed parameter information about the neural network. The table contains the parameter information of MLP: the number of neurons in each layer, activation function, momentum, loss functio
Figshare2024-02-15 更新80
Prediction accuracy using pre-stimulus, during-stimulus and entire period.
Prediction accuracy using pre-stimulus, during-stimulus and entire period.
NIAID Data Ecosystem40
Table 4_A novel end-to-end learning framework for inferring lncRNA-disease associations based on convolution neural network.xlsx
IntroductionIn recent years, lots of computational models have been proposed to infer potential lncRNA-disease associations. MethodsIn this manuscript, we introduced a novel end-to-end learning framew
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Table_2_Performance control study of interleaved meltblown non-woven materials based on statistical analysis and predictive modeling.xlsx
Meltblown nonwoven materials have gained attention due to their excellent filtration performance. The research on the performance of the intercalation meltblown preparation process is complex and a cu
NIAID Data Ecosystem70
The DOID for 116 diseases.
RNA modification is a post transcriptional modification that occurs in all organisms and plays a crucial role in the stages of RNA life, closely related to many life processes. As one of the newly dis
NIAID Data Ecosystem30
