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Biological activity time sequence analysis method and device based on complex network

A technology for time series analysis and biological activity, applied in the field of complex networks, it can solve problems such as not being able to meet

Active Publication Date: 2021-02-19
CHANGZHOU MICROINTELLIGENCE CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, this rule is not enough to meet the requirements of medicine to test the medicine in biology to judge the effect of the medicine at different ages and health levels.

Method used

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  • Biological activity time sequence analysis method and device based on complex network
  • Biological activity time sequence analysis method and device based on complex network
  • Biological activity time sequence analysis method and device based on complex network

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Embodiment Construction

[0030] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0031] figure 1 It is a flow chart of the complex network-based biological activity time series analysis method according to the embodiment of the present invention.

[0032] like figure 1 As shown, the biological activity time series analysis method based on the complex network of the embodiment of the present invention may include the following steps:

[0033] S1, to obtain biological activity time series data.

[0034] Specifically, to obtain the work ...

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Abstract

The invention provides a biological activity time sequence analysis method and device based on a complex network. The method comprises the following steps: acquiring biological activity time sequencedata; converting the biological activity time sequence data into a state transition network through the complex network; obtaining network features of the state transition network, wherein the networkfeatures of the state transition network comprises a motif graph; analyzing the network features, and determining whether the biological activity time series data has long-range correlation or not. According to the analysis method disclosed by the invention, the biological activity time sequence data is analyzed to obtain the long-range correlation of the organism, and the effect of the drug canbe judged according to the long-range correlation of the organism when the drug is tested for biological injection drugs in the field of medicines.

Description

technical field [0001] The present invention relates to the technical field of complex networks, in particular to a complex network-based biological activity time-series analysis method, a complex network-based biological activity time-series analysis device, a computer device, and a non-temporary computer-readable storage medium. Background technique [0002] Most of the existing studies on the analysis of the activity rules of creatures (such as mice) are based on time series analysis in the time series field, revealing the rules of mice in the time domain. However, this rule is not enough to meet the needs of medicine in biological testing to judge the effect of the drug at different ages and health levels. Contents of the invention [0003] In order to solve the above technical problems, the present invention provides a complex network-based biological activity time series analysis method, which converts the biological activity time series data into a state transition...

Claims

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Application Information

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IPC IPC(8): G16H70/40G16H50/20
CPCG16H50/20G16H70/40
Inventor 李泽朋马元巍顾徐波宋怡然潘正颐侯大为
Owner CHANGZHOU MICROINTELLIGENCE CO LTD