All Stories

  1. Performance assessment of sample-specific network control methods for bulk and single-cell biological data analysis
  2. A novel network control model for identifying personalized driver genes in cancer
  3. Global analysis of N6-methyladenosine functions and its disease association using deep learning and network-based methods
  4. Brief Survey of Biological Network Alignment and a Variant with Incorporation of Functional Annotations
  5. Identifying Drug-Target Interactions with Decision Templates
  6. Computational Methods for Predicting ncRNA-protein Interactions
  7. Some Remarks on Prediction of Drug-Target Interaction with Network Models
  8. Gene Prediction in Metagenomic Fragments with Deep Learning
  9. Some Remarks on Prediction of Protein-Protein Interaction with Machine Learning
  10. Decomposition of RNA methylome reveals co-methylation patterns induced by latent enzymatic regulators of the epitranscriptome
  11. lncRNA-MFDL: identification of human long non-coding RNAs by fusing multiple features and using deep learning
  12. MtHc: a motif-based hierarchical method for clustering massive 16S rRNA sequences into OTUs
  13. Prioritization of candidate disease genes by enlarging the seed set and fusing information of the network topology and gene expression