Clustering method, clustering system, clustering result evaluation method and clustering result evaluation system based on biological data

Abstract

The invention provides a clustering method based on the biological data. The clustering method based on the biological data comprises steps of data acquisition, data classification, distance calculation and clustering. The invention further provides a clustering result evaluation method based on the biological data, the method further comprises steps of clustering result acquisition, clustering evaluation score calculation, clustering evaluation score conversion and decision integration. The invention further provides a clustering system based on the biological data and a clustering result evaluation system based on the biological data. Through the clustering method, the clustering system, the clustering result evaluation method and the clustering result evaluation system based on the biological data, the biological application value of clustering results is improved, and high practicality is strong.

Description

technical field [0001] The invention relates to the technical field of cluster analysis, in particular to a biological data-based clustering method and system, and a clustering result evaluation method and system. Background technique [0002] With the emergence of a large number of biological data, how to quickly and reasonably analyze various biological data has become a hot and difficult issue in the field of biology. Taking gene analysis as an example, the current technology can simultaneously detect the expression values ​​of tens of thousands of genes at one time, and obtain sequence information and functional information of genes through various channels. Therefore, how to cluster and analyze numerous genes and dig out genes with biological significance is one of the important research directions in this field. The commonly used method is to use the clustering method in the field of machine learning, but the general clustering method only evaluates the clustering and...

AI Technical Summary

Problems solved by technology

The commonly used method is to use the clustering method in the field of machine learning, but the general clustering method only evaluates the clustering and clustering results from the calculation point of view, while ignoring the meaning of the biological data itself, resulting in inconsistent clustering results. It has practical application value, and the applicability of clustering results is low

Images