An integrated framework for the identification of potential miRNA-disease association based on novel negative samples extraction strategy

Lignende værker

• Identification of tumor suppressor miRNAs by integrative miRNA and mRNA sequencing of matched tumor–normal samples in lung adenocarcinoma
  af: Yu, Namhee, et al.
  Udgivet: (2019)
• A Novel Computational Method for the Identification of Potential miRNA-Disease Association Based on Symmetric Non-negative Matrix Factorization and Kronecker Regularized Least Square
  af: Zhao, Yan, et al.
  Udgivet: (2018)
• Prediction of Potential miRNA–Disease Associations Through a Novel Unsupervised Deep Learning Framework with Variational Autoencoder
  af: Zhang, Li, et al.
  Udgivet: (2019)
• Integrated miRNA profiling and bioinformatics analyses reveal potential causative miRNAs in gastric adenocarcinoma
  af: Zhang, Xiaojing, et al.
  Udgivet: (2015)
• TLHNMDA: Triple Layer Heterogeneous Network Based Inference for MiRNA-Disease Association Prediction
  af: Chen, Xing, et al.
  Udgivet: (2018)