SVMTriP: A Method to Predict Antigenic Epitopes Using Support Vector Machine to Integrate Tri-Peptide Similarity and Propensity

Lignende værker

• SVMTriP: a method to predict antigenic epitopes using support vector machine to integrate tri-peptide similarity and propensity.
  af: Bo Yao, et al.
  Udgivet: (2012-01-01)
• EPSVR and EPMeta: prediction of antigenic epitopes using support vector regression and multiple server results
  af: Liang, Shide, et al.
  Udgivet: (2010)
• Prediction of B-cell Linear Epitopes with a Combination of Support Vector Machine Classification and Amino Acid Propensity Identification
  af: Wang, Hsin-Wei, et al.
  Udgivet: (2011)
• Similarity-Based Summarization of Music Files for Support Vector Machines
  af: Jan Jakubik, et al.
  Udgivet: (2018-01-01)
• Potency-directed similarity searching using support vector machines
  af: Heikamp, Kathrin, et al.
  Udgivet: (2012)