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Gene circuit simulating artificial neural network and construction method thereof

A technology of artificial neural network and gene circuit, which is applied in the direction of biological neural network model, neural architecture, gene model, etc., can solve the problems that do not have general computer computing speed, cannot do complex calculations, and have few practical applications

Pending Publication Date: 2019-10-22
石致宇
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, these genetic circuit designs do not have the computing speed of general computers, nor can they perform complex calculations, so there are few practical applications

Method used

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  • Gene circuit simulating artificial neural network and construction method thereof
  • Gene circuit simulating artificial neural network and construction method thereof
  • Gene circuit simulating artificial neural network and construction method thereof

Examples

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Embodiment 2

[0037] Recently, several cancers including breast cancer have been shown to contain multiple different cancer cells within the same tumor (see Yeo, Syn Kok, and Jun-Lin Guan."Breast cancer: multiple subtypes within tumor?."Trends in cancer 3.11(2017):753-760; and Raynaud, Franck, et al."Pan-cancer inference of intra-tumor heterogeneity reveals associations with different forms of genomic instability."PLoS genetics 14.9(2018):e1007669). Next, the gene circuit of the simulated artificial neural network of the present invention is used to perform simulated calculations for relevant cells, and the output results are used to judge breast cancer subtypes.

[0038] figure 2 It is a schematic diagram of the second embodiment of the gene circuit simulating the artificial neural network of the present invention, and the gene circuit can be used to judge breast cancer subtypes, and / or output drugs for different breast cancer subtypes. exist figure 2 The shown gene circuit for simulat...

Embodiment 3

[0044] The genetic circuit simulating the artificial neural network of the present invention can be used for regression analysis to predict the result, saving the procedure, time and cost required for the actual test. Figure 4 It is a schematic diagram of the third embodiment of the gene circuit simulating the artificial neural network of the present invention, the gene circuit can be used to predict the toxicity of heavy metals (copper, lead, cadmium) in water, and output the toxicity prediction result with fluorescent protein as the output layer.

[0045] exist Figure 4 The shown gene circuit for simulating an artificial neural network includes an input layer 100 , a first hidden layer 210 , a second hidden layer 220 , a third hidden layer 230 , a fourth hidden layer 240 , and an output layer 300 . The input layer 100 includes three input layer nodes, the first hidden layer 210 and the fourth hidden layer 240 include seven hidden layer nodes, the second hidden layer 220 an...

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Abstract

The invention discloses a gene circuit simulating an artificial neural network. The gene circuit comprises at least one input layer, at least two hidden layers and at least one output layer; the inputlayer comprises a plurality of input layer nodes; each hidden layer comprises a plurality of hidden layer nodes, the output layer comprises a plurality of output layer nodes, an input vector of eachinput layer node is a promoter and an input gene, each hidden layer node comprises a hidden layer gene, and each hidden layer gene is regulated and controlled by a promoter of the gene of the layer ora gene product of the gene of the previous layer; the output node outputs a gene circuit result; the regulation and control of the product of the previous layer of gene on the hidden layer gene and the output layer node accord with an excitation function; and the input layer node is regulated and controlled by the input promoter to accord with an excitation function. By implementing the method, the artificial neural network can be simulated by adopting a gene circuit structure, so that complex operation is simulated on a molecular level, and complex application in the fields of biology, medicine, chemistry, electronics and the like is realized.

Description

technical field [0001] The invention relates to the field of biology, and more specifically, relates to a gene circuit for simulating an artificial neural network and a construction method thereof. Background technique [0002] Artificial Neural Network (ANN) is a research hotspot in the field of artificial intelligence since the 1980s. It abstracts the human brain neuron network from the perspective of information processing, establishes a simple model, and forms different networks according to different connection methods. In engineering and academia, it is often referred to directly as a neural network or a neural network. A neural network is an operational model consisting of a large number of nodes (or neurons) connected to each other. Each node represents a specific output function called an activation function. Each connection between two nodes represents a weighted value for the signal passing through the connection, called weight, which is equivalent to the memor...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N3/00G06N3/06G06N3/12
CPCG06N3/061G06N3/002G06N3/123G06N3/048G06N3/06G16B25/10C12N15/63G16B40/20G16H50/20G16B5/00
Inventor 石致宇罗乐贤郭玮强
Owner 石致宇
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