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A Calculation Method of Degeneracy of Suppressed Boolean Networks

A Boolean network, network technology, applied in computing, special data processing applications, instruments, etc., can solve problems such as system paralysis or degradation

Active Publication Date: 2018-05-04
PEOPLES LIBERATION ARMY ORDNANCE ENG COLLEGE
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

For example, some nerve cells in the brain are apoptotic every day, and the olfactory cells of dogs are all replaced every month, but their physiological functions are still normal. paralyzed or degraded

Method used

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  • A Calculation Method of Degeneracy of Suppressed Boolean Networks
  • A Calculation Method of Degeneracy of Suppressed Boolean Networks
  • A Calculation Method of Degeneracy of Suppressed Boolean Networks

Examples

Experimental program
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Embodiment 1

[0050] Embodiment 1, a formula for calculating the degeneracy of a suppressed Boolean network.

[0051] The main idea of ​​the degeneracy measurement of the suppressed Boolean network is to measure the overlapping amount of the contribution of all node sets to the overall function of the suppressed Boolean network (or called the overlapping amount of functional contribution).

[0052] The suppressive Boolean network includes an input layer, a transduction layer and an output layer, and it is assumed that the input layer has l nodes, the transduction layer has m nodes, and the output layer has t nodes. The m nodes in the transduction layer are grouped and divided into collections (or node collections), k is the collection size, representing the number of nodes contained in a collection, 1≤k≤m; the divided collections are grouped according to the collection scale, that is, those with the same number of nodes Sets are grouped into one group, and the grouping with a set size of ...

Embodiment 2

[0059] Embodiment 2, a method for calculating the degeneracy of a suppressed Boolean network.

[0060] The calculation method of the suppressed Boolean network degeneracy provided by the present invention comprises the following steps:

[0061] The first step is to clarify the inhibitory Boolean network (such as figure 1 shown), calculate the truth table of the target function of the inhibitory Boolean network.

[0062] Such as figure 1 As shown, the suppressive Boolean network is recorded as a vector F=(V, W), V represents the set of all nodes in the network, and W represents the weight matrix of the regulatory relationship between nodes. The suppressive Boolean network is divided into an input layer 10 , a transduction layer 11 and an output layer 12 . In the biological network, the input layer 10 nodes represent signal perception receptors on the cell surface, which are used to sense external environmental stimuli; the transduction layer 11 nodes represent signal transdu...

Embodiment 3

[0085] Embodiment 3, a method for calculating the degeneracy of a suppressed Boolean network.

[0086] A suppressive Boolean network is known. The input layer has l=2 nodes, the transduction layer has m=7 nodes, and the output layer has t=3 nodes. The network topology is as follows Figure 5 shown.

[0087] The first step, calculate according to formula (3) in embodiment 2 Figure 5 The state value of each node in the suppressed Boolean network shown is obtained, Figure 5 See Table 2 for the truth table of the target function of the suppressed Boolean network shown.

[0088] Table 2: Figure 5 The truth table of the target function for all nodes

[0089]

[0090]

[0091] step two, yes Figure 5 In the suppressed Boolean network shown, the transduction layer nodes are divided into sets, and all the divided sets are grouped according to the set size.

[0092] Figure 5 The transduction layer of the suppressed Boolean network shown has 7 nodes (node ​​numbers are 1...

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Abstract

The invention provides a method for calculating degeneracy of suppressed Boolean network. The present invention divides all nodes in the transduction layer into sets, and groups the divided sets, and in each group, calculates the amount of functional contribution overlap between each set and its complement, and calculates the mean value. The sum of the mean values ​​of the overlapping functional contributions of , and the result is the degeneracy of the suppressed Boolean network. The formula for calculating the degeneracy of the suppressed Boolean network is: . The method for calculating the degeneracy of the suppressed Boolean network proposed by the present invention makes the understanding of biological degeneracy rise from qualitative description to quantitative description, and facilitates accurate recognition of degeneracy phenomena in complex biological networks.

Description

technical field [0001] The invention relates to a method for calculating degeneracy, in particular to a method for calculating degeneracy of suppressed Boolean networks. Background technique [0002] The rapid progress of microelectronics technology has greatly improved the level of integration, intelligence and precision of electronic equipment, making it play an increasingly important role in the fields of communication, transportation, finance and military. However, an increasing number of electronic devices will also intentionally or unintentionally emit high-density, high-field-strength, wide-spectrum electromagnetic waves, coupled with natural strong electromagnetic sources such as lightning electromagnetic pulses, electrostatic discharge electromagnetic pulses, nuclear electromagnetic pulses, high-power microwaves, Man-made strong electromagnetic sources such as ultra-broadband have made the space electromagnetic environment increasingly complex and harsh. Despite th...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F19/00
Inventor 满梦华马贵蕾张娅褚杰
Owner PEOPLES LIBERATION ARMY ORDNANCE ENG COLLEGE
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