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Prediction of B-cell epitopes using evolutionary information and propensity scales
Scott Yi Heng Lin
, Cheng Wei Cheng
, Emily Chia Yu Su
Graduate Institute of Biomedical Informatics
TMU Research Center of Artificial Intelligence in Medicine and Health
Research output
:
Contribution to journal
›
Article
›
peer-review
45
Citations (Scopus)
Overview
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Dive into the research topics of 'Prediction of B-cell epitopes using evolutionary information and propensity scales'. Together they form a unique fingerprint.
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Mathematics
Support Vector Machine
100%
correlation coefficient ρ
100%
Matrix (Mathematics)
50%
Current Model
50%
Ratio Scale
50%
Cross-Validation
50%
Agricultural and Biological Sciences
Evolution
100%
Epitope
100%
B Cell
100%
Support Vector Machine
22%
Amino Acid
11%
Immunology and Microbiology
Epitope
100%
B Cell
100%
Support Vector Machine
22%
Position Weight Matrix
11%
Biochemistry, Genetics and Molecular Biology
B Cell
100%
Support Vector Machine
22%
Amino Acids
11%
Position Weight Matrix
11%
Material Science
Epitope
100%
Amino Acids
11%