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Uncentered (Absolute) Correlation Clustering Method Fit for Establishing Theoretical SAPK/JNK Signaling Pathway in Human Soft Tissue Sarcoma Samples.

Authors :
Corchado, Emilio
Hujun Yin
Botti, Vicente
Fyfe, Colin
Jinling Zhang
Yinghua Lu
Lin Wang
Hongxin Zhang
Bo Zhang
Yeqiu Wang
Kai Wu
Wolfl, Stefan
Source :
Intelligent Data Engineering & Automated Learning - IDEAL 2006; 2006, p1329-1336, 8p
Publication Year :
2006

Abstract

The aim of this research is to use and compare clustering technologies and find the best method for establishing theoretical SAPK/JNK signaling pathway in human soft tissue sarcoma samples. Centroid linkage, Single linkage, complete linkage and average linkage hierarchical clustering are used to arrange genes for setup signaling pathways according to similarity in pattern of gene. The results show that centriod linkage, complete linkage, and average linking clustering architecture is consistent with the core unit of the cascade composed of a CDC42, a MEKK1 (map3k1), a MKK4 (map2k4), a JNK1(mapk8) to a ATF2 in hierarchical clustering. An activated Jnk phosphorylates a variety of transcription factors regulating gene expression, such as ATF2. This study implies that centroid linkage, complete linkage and average linkage clustering method in uncentered (absolute) correlation similarity measures fits for establishing theoretical SAPK/Jnk signaling pathway in human soft tissue sarcoma samples which is consistent with biological experimental SAPK/Jnk signaling pathway [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISBNs :
9783540454854
Database :
Complementary Index
Journal :
Intelligent Data Engineering & Automated Learning - IDEAL 2006
Publication Type :
Book
Accession number :
32914287
Full Text :
https://doi.org/10.1007/11875581_158