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Artificial neural network applications in immunology
Vladimir Brusic
, John Zeleznikow
Research output
:
Contribution to conference
›
Paper
›
peer-review
4
Citations (Scopus)
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Keyphrases
Artificial Neural Network Model
100%
Immunology
100%
Artificial Neural Network Applications
100%
MHC Molecules
50%
Immune System
50%
Specific Applications
50%
Diabetes
50%
Melanoma
50%
Malaria
50%
Peptide Binding
50%
Vaccine Discovery
50%
Immune Recognition
50%
Lab Experiment
50%
Protein Antigen
50%
Wet Laboratory
50%
Medicine and Dentistry
Immunology
100%
Diabetes
50%
Immune System
50%
Nodular Melanoma
50%
Antigen
50%
Antigen Recognition
50%
Immunology and Microbiology
Immunology
100%
Artificial Neural Network
100%
Vaccine Efficacy
25%
Antigen
25%
Immune System
25%
Antigen Recognition
25%
Biochemistry, Genetics and Molecular Biology
Artificial Neural Network
100%
Antigen Recognition
25%
Neuroscience
Artificial Neural Network
100%
Antigen
25%