Non-Fiction Books:

Modified BPN Based RNA Secondary Structure Classification

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Description

The idea of this work is to classify the RNA secondary structure elements using the modified backpropagation neural network. RNA secondary structure contains elements like helix, hairpin, internal loop, external loop, multi branch loop, bulge etc.The hairpin, non hairpin, helix and non helix portions are extracted using the representative and the secondary structure. Since sequences are strings of alphabets A, U, C, G and vary in length so they can't be used as such for inputs of neural network. The feature vector is extracted from sequences. Feature vector has eight parameters.
Release date Australia
November 18th, 2014
Audience
  • General (US: Trade)
Pages
104
Dimensions
152x229x6
ISBN-13
9783659623790
Product ID
23743597

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