相关数据集
Fast Nonseparable Gaussian Stochastic Process With Application to Methylation Level Interpolation
Gaussian stochastic process (GaSP) has been widely used as a prior over functions due to its flexibility and tractability in modeling. However, the computational cost in evaluating the likelihood is O
Taylor & Francis Group2021-09-29 更新40
Code and de-identified datasets for FinaleMe
FinaleMe is a Java program to predict DNA methylation by fragmentation patterns in deep and low-coverage cell-free DNA genomic sequencing data (e.g., whole-genome sequencing) without other training da
Zenodo2024-10-30 更新20
Additional file 5 of m6A-TCPred: a web server to predict tissue-conserved human m6A sites using machine learning approach
Additional file 5. #Genomic Feature genertaion.
Figshare2024-08-18 更新10
Summary of the results of the different predictors for the methyl-group bearing residues compared in Figure 3.
For each method we report a short description and the corresponding set of predictions for hPDZ2 (columns 2 and 3). The Area Under the ROC Curves (AUC) calculated for the methods in Figure 3A and 3B i
Figshare2015-12-02 更新30
HMF-m6A: A Hierarchically Contextual and Multimodally Fused Framework for General RNA m6A Prediction, Validated by HIV-Induced Host Methylation
Accurately predicting RNA m6A methylation and its occurrence probability remains a formidable computational challenge due to the severe interference of local motif contexts, the rigid dependence on pr
Zenodo2026-06-17 更新20
