Numerical simulation method for cell growth in space biology

Abstract

The invention provides a numerical simulation method for cell growth in space biology. The method comprises the following steps of: performing analytical processing on primary data for the cell growth by using a gray system theory to establish a gray system Verhulst model; performing regression analysis on a simulated value obtained by the gray system Verhulst model and an error sequence of the primary data by a support vector regression method; and meanwhile establishing a metabolism model for removing the old sequence and adding new information. The combined model can realize simulation and prediction of the cell growth under the condition of three gravity parameters, namely simulated microgravity, normal gravity and super-gravity.

Description

technical field [0001] The invention relates to a numerical simulation method of cell growth in space biology, in particular to a modeling method of cell growth in a space environment based on a gray system and support vector regression, and belongs to the field of space biology. Background technique [0002] In recent years, with the development of science and technology and the increase of social demand, space resources are gradually being developed and utilized. Since the research at the level of cells and biomolecules is of great significance to the fields of tissue engineering and clinical application, space biology has gradually become one of the hot research topics in many countries in related fields such as biology. The research results of space biology can promote manned spaceflight, promote the development of space resources, realize crop breeding, and thus solve related problems of human production and life. [0003] In the field of space biology, the method of u...

AI Technical Summary

Problems solved by technology

First of all, the cost of conducting relevant research in a real aerospace environment is very high, and due to the limitation of experimental conditions, many experiments cannot be carried out in an aerospace environment

At the same time, the number of subjects is very small, how to get more information from the limited experimental data requires a mathematical model to solve this problem; secondly, in addition to space loading, in ground-based simulation experiments, although the number of test opportunities is greatly increased , but compared with the normal biological experiments on the ground, there is no standard and normative content in the production environment and experimental operation of space factors such as microgravity in space biological experiments, and the factors in the space environment affect The mechanism of action of cells, etc. is still unclear, which brings great confusion to the relevant experimenters

Typical of them is that they cannot test the correctness of the experimental conclusions at a specific point in time or within a period of time, thus hindering the progress of the experiment

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