Method for screening environmentally sensitive biomolecules

Abstract

The present invention discloses a method for screening environmentally sensitive biomolecules. The method comprises the following steps of: performing loading and standardization processing on omics data; calculating an interquartile range and a set threshold value of a feature; using the threshold value for performing filtering with an interquartile range algorithm to obtain a differential expression feature; and then using a variance analysis algorithm for filtering a standardized data set to obtain a differential expression feature. In combination with the two algorithms, features of common differential expression changes are matched and sequenced with a random forests algorithm so as to obtain an important differential expression feature. On this basis, by cluster analysis, environmentally sensitive molecular markers are determined. The combination algorithm for screening the environmentally sensitive molecule markers, provided by the present invention, shortens calculation time, improves accuracy, gives a feature importance sequence, rapidly locates an environmentally sensitive target molecule for a biologist, reveals a biological response mechanism for early warning and prevention, and provides an efficient and convenient data processing tool.

Description

technical field [0001] The invention belongs to the technical field of biological information, and relates to a method for mining biomolecules sensitive to the environment in high-throughput biological information data. Background technique [0002] In the field of environmental toxicology, the exposure of organisms to harmful factors (physical, chemical, or biological factors) will cause various changes in the body, including physiological, biochemical, immune, cellular, and genetic changes. With the development of molecular biology experimental techniques, many researchers have begun to study the changes of biomolecules in harmful environments at the molecular level, identify early biological effects, and achieve early warning of harmful factors, so as to more comprehensively monitor harmful factors. Risk early warning can also be used for research on toxicological mechanism and control effect. [0003] In molecular biology experimental technology, with the development of...

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Problems solved by technology

[0006] However, these algorithms have certain advantages and disadvantages. For example, the advantage of the filter method is that it can quickly eliminate a large number of non-critical noise features, narrow the search range of feature subsets, and is suitable as a feature preselector; The feature scale is generally relatively large, which still contains some obvious noise features, which brings great obstacles to finding key features and classification.

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