Clustering Analysis of Family Members of p53 Tumor Suppressor Gene Based on Fuzzy Proximity Relation

Abstract:

Fuzzy clustering technology plays an important role in revealing the connection and dependence between the data.Therefore,according to the properties of fuzzy equivalence relation,this paper use the weighted hamming distance method to establish fuzzy proximity relation between sequences,and then make fuzzy equivalence matrix to being clustering analysis.Then select 18 human p53 and its family members p63 and p73 tumor protein mRNA sequences,use the base contents of sequences as index to being clustering analysis.Find that when λ=0.951 59,the result is divided into 3 groups,p53,p63 and p73 each becomes a class.From the perspective of clustering,p53,p63 and p73 have differences in structures and functions.This method has biological significance in predicting the structures and functions of unknown genes.