All Stories

  1. A Cell-Cell Interaction Network Based Method for Identifying Lymph Node Metastasis and Characterizing Lung Cancer Progression
  2. A Innovative Strategy for Identifying Subtypes Through the Analysis of Multi-Omics Data with Adversarial Autoencoders
  3. GRAPE: graph-regularized protein language modeling unlocks TCR-epitope binding specificity
  4. Amulet: Integrating Sensitive Information Access with Identity Authentication on Mobile Devices
  5. Prediction of miRNA-disease Associations by Deep Matrix Decomposition Method based on Fused Similarity Information
  6. Ammonia Nitrogen Detection in Acidic Solutions: An Ammonium ISE Coupled With pH Precompensation
  7. A muti-modal feature fusion method based on deep learning for predicting immunotherapy response
  8. Dual-View Learning Based on Images and Sequences for Molecular Property Prediction
  9. A Novel Approach for Subtype Identification via Multi-omics Data Using Adversarial Autoencoder
  10. AMGDTI: drug–target interaction prediction based on adaptive meta-graph learning in heterogeneous network
  11. Comprehensive evaluation of deep and graph learning on drug–drug interactions prediction
  12. Tungsten-Oxide/Liquid Electrical-Double-Layer Capacitive Sensors and EIS Characterization for Liquid Pressure Monitoring
  13. Gender-Adversarial Networks for Face Privacy Preserving
  14. Tungsten Oxide Flow Sensor and its Performance Regulation
  15. Kernelized Convex Hull based Collaborative Representation for Tumor Classification