Uncentered (centered) Correlation Clustering Method Fit for Establishing Theoretical p38 MAPK Signaling Pathway in Human Soft Tissue Sarcoma Samples

The aim of this research is to use and compare clustering technologies and find the best method for establishing theoretical p38 MAPK signaling pathway in human soft tissue sarcoma samples. We use and compare Uncentered (centered) correlation,absolute correlation (uncentere and centere), spearman rank correlation, kendall's tau, Edclidean distance, Edclidean distance harmonic and city-block distance similarity metric in centroid linkage, Single linkage, complete linkage, average linkage hierarchical clustering to arrange genes for setup signaling pathways according to similarity in pattern of gene. Our results show that only Uncentered (centered) correlation is consistent with the core unit of the cascade composed of from a MLK3(MAP3K11), a MKK6(map2k6), a p38 MAPK (mapk14), a MSK1(RPS6KA5) to a CREB. This study implies that Uncentered (centered) correlation clustering fit for establishing theoretical p38 MAPK signaling pathway in human soft tissue sarcoma samples which is consistent with biological experimental p38 MAPK signaling pathway.