ACM BCB - Transfer Learning for Predicting Virus-Host Protein Interactions for Novel Virus Sequences
Here is the slide of my tutorial talk at UCLA computational genomics summer school 2019.
Tool TSK: Transfer String Kernel for Cross-Context DNA-Protein Binding Prediction
Tool SIMULE: A constrained l1 minimization approach for estimating multiple Sparse Gaussian or Nonparanormal Graphical Models
Tool MUST-CNN: A Multilayer Shift-and-Stitch Deep Convolutional Architecture for Sequence-based Protein Structure Prediction
Tool Multitask-ProteinTagging: A unified multitask architecture for predicting local protein properties