Oncogenomics Online
Artificial
Neural Network
Analysis |
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(Required) |
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1. Input |
(Required) |
Data File
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Data
have been logged |
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Test samples have been
included |
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(Required) |
Class File |
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File Format Example
(opens a new browser
window) |
Color Code for Class File
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2. Pre-processing |
Principal Component Analysis
(PCA) |
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# of PCs (2 - 20) |
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Post-PCA
Normalization |
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3. Architecture |
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ANN |
Type
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Number of Hidden Nodes (5 - 10) |
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Number of Training Epochs (50 - 200) |
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Schema |
Number of Validation Groups (2 - 20) |
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Committee Size
(20 - 500) |
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Leave One Out |
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4. Post-processing |
Gene Minimization |
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