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Figure 1 | BMC Bioinformatics

Figure 1

From: A machine learning approach to explore the spectra intensity pattern of peptides using tandem mass spectrometry data

Figure 1

Structure of the Bayesian neural network used to explore the mechanism of gas-phase fragmentation of peptides. The network is fully connected and feed-forward with three layers including one hidden layer. 73 nodes are used in the input layer representing 35 features. 40 nodes in binary are used to represent the presence of 20 different residues at N and C terminus to the target peptide bond. Every node in the input layer has an independent coefficient to reveal its "relevance" to the network output. The hidden layer has 40 nodes and the activation function of the hidden layer is sigmoidal.

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BMC Bioinformatics

ISSN: 1471-2105

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