Using the Relevance Vector Machine Model Combined with Local Phase Quantization to Predict Protein-Protein Interactions from Protein Sequences

Lignende værker

• RVMAB: Using the Relevance Vector Machine Model Combined with Average Blocks to Predict the Interactions of Proteins from Protein Sequences
  af: An, Ji-Yong, et al.
  Udgivet: (2016)
• Improving protein–protein interactions prediction accuracy using protein evolutionary information and relevance vector machine model
  af: An, Ji‐Yong, et al.
  Udgivet: (2016)
• Detection of Interactions between Proteins through Rotation Forest and Local Phase Quantization Descriptors
  af: Wong, Leon, et al.
  Udgivet: (2015)
• PCLPred: A Bioinformatics Method for Predicting Protein–Protein Interactions by Combining Relevance Vector Machine Model with Low-Rank Matrix Approximation
  af: Li, Li-Ping, et al.
  Udgivet: (2018)
• Sequence-based Prediction of Protein-Protein Interactions Using Gray Wolf Optimizer–Based Relevance Vector Machine
  af: Ji-Yong An, et al.
  Udgivet: (2019-04-01)