bin li and warren j. gallin department of biological sciences university of alberta
DESCRIPTION
Prediction of Half Activation Voltages of Voltage-gated Potassium Channels Based on Amino Acid Sequences Using Machine Learning. Bin Li and Warren J. Gallin Department of Biological Sciences University of Alberta Edmonton, Canada. VKC. Data Processing. Basic Learning. Training data: - PowerPoint PPT PresentationTRANSCRIPT
Dec 7, 2003
Poster
Prediction of Half Activation Voltages of Voltage-gated Potassium Channels Based on Amino Acid
Sequences Using Machine Learning
Bin Li and Warren J. GallinDepartment of Biological Sciences
University of Alberta Edmonton, Canada
Dec 7, 2003
Poster
Basic Learning
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Filter
Training data:58 VKC sequences -296 residues (features) eachClass: published Va values
Outlier Selection
ComparisonMatrix
KNN classifier
http://vkcdb.biology.ualberta.ca
Data Processing
Training set Construction of classifier
VKC
Dec 7, 2003
Poster
Mathematics Biology?
KNN classifier
Feature selection
wrapper
BLOSUM62
Outlier selection
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Machine learning may not provide definitive answers to biological problems,but it help propose newhypotheses for experimentaltests.