Hybrid biogeography based simultaneous feature selection and MHC class I peptide binding prediction using support vector machines and random forests

2013 ◽  
Vol 387 (1-2) ◽  
pp. 284-292 ◽  
Author(s):  
Atulji Srivastava ◽  
Shameek Ghosh ◽  
N. Anantharaman ◽  
V.K. Jayaraman
Keyword(s):  
Feature Selection ◽  
Support Vector Machines ◽  
Mhc Class I ◽  
Random Forests ◽  
Peptide Binding ◽  
Class I ◽  
Support Vector ◽  
Binding Prediction ◽  
Vector Machines ◽  
Peptide Binding Prediction

scholarly journals Evaluation of MHC class I peptide binding prediction servers: Applications for vaccine research

2008 ◽  
Vol 9 (1) ◽  
pp. 8 ◽  
Author(s):  
Hong Lin ◽  
Surajit Ray ◽  
Songsak Tongchusak ◽  
Ellis L Reinherz ◽  
Vladimir Brusic
Keyword(s):  
Mhc Class I ◽  
Peptide Binding ◽  
Class I ◽  
Vaccine Research ◽  
Binding Prediction ◽  
Peptide Binding Prediction

Detecting COVID-19 from Audio Recording of Coughs Using Random Forests and Support Vector Machines

2021 ◽  
Author(s):  
Isabella Södergren ◽  
Maryam Pahlavan Nodeh ◽  
Prakash Chandra Chhipa ◽  
Konstantina Nikolaidou ◽  
György Kovács
Keyword(s):  
Support Vector Machines ◽  
Random Forests ◽  
Support Vector ◽  
Audio Recording ◽  
Vector Machines
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