Transcript
Page 1: Bin Li and Warren J. Gallin Department of Biological Sciences University of Alberta

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

Page 2: Bin Li and Warren J. Gallin Department of Biological Sciences University of Alberta

Dec 7, 2003

Poster

Basic Learning

Wrapper

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

Page 3: Bin Li and Warren J. Gallin Department of Biological Sciences University of Alberta

Dec 7, 2003

Poster

Mathematics Biology?

KNN classifier

Feature selection

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BLOSUM62

Outlier selection

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Q/E

R/K

A/S/V

Machine learning may not provide definitive answers to biological problems,but it help propose newhypotheses for experimentaltests.


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