Construction of Regulatory Boolean Networks Based on Expression Profiles Data Noise

Autor: Li Qin Wang, Gui Qiang Chen, Hong Hai Zhao
Rok vydání: 2012
Předmět:
Zdroj: Advanced Materials Research. :2046-2050
ISSN: 1662-8985
DOI: 10.4028/www.scientific.net/amr.588-589.2046
Popis: After while the “Human Genome Project” proposes, the people complete measures the foreword plan after the multi-gene genome team, also starts to change to these genes and their reciprocity function understanding research. Varieties of gene regulation Boolean networks algorithms have been proposed of the gene expression profiles, however, the problem of noise could always be found in creating a Boolean network. Due to gene expression data are always noisy. In this paper, it show that after the Boolean networks logic function are learned from noisy data, some noise in the Boolean function could be restructure Karnaugh Maps. It could find logic relationships between protein and protein and restructure protein logic networks. It find logic relationship among proteins as well as COGs (clusters of orthogous groups) and build the logic network of protein.
Databáze: OpenAIRE