TY - GEN
T1 - Biological relevance detection via network dynamic analysis
AU - Zhao, Zheng
AU - Liu, Huan
AU - Wang, Jiangxin
AU - Chang, Yung
PY - 2010
Y1 - 2010
N2 - Most existing approaches for gene selection are based on evaluating statistical relevance. However, there are remarkable discrepancies between statistical relevance and biological relevance. It is important to consider biological relevance for crucial genes identification. The task of detecting biological relevance presents two major challenges: first, how to define different types of measures to evaluate the biological relevance from multiple perspectives; and second, how to effectively integrate these measures to achieve better estimations. In this work, we propose to detect biological relevance by applying dynamics analysis using both biological networks and gene expression profiles from different phenotypes. We also develop an effective probabilistic model to integrate various types of relevance measures in a unified form. Experimental results show the efficacy and potential of the proposed approach with promising findings.
AB - Most existing approaches for gene selection are based on evaluating statistical relevance. However, there are remarkable discrepancies between statistical relevance and biological relevance. It is important to consider biological relevance for crucial genes identification. The task of detecting biological relevance presents two major challenges: first, how to define different types of measures to evaluate the biological relevance from multiple perspectives; and second, how to effectively integrate these measures to achieve better estimations. In this work, we propose to detect biological relevance by applying dynamics analysis using both biological networks and gene expression profiles from different phenotypes. We also develop an effective probabilistic model to integrate various types of relevance measures in a unified form. Experimental results show the efficacy and potential of the proposed approach with promising findings.
UR - http://www.scopus.com/inward/record.url?scp=84883562290&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84883562290&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84883562290
SN - 9781617381119
T3 - 2nd International Conference on Bioinformatics and Computational Biology 2010, BICoB 2010
SP - 44
EP - 49
BT - 2nd International Conference on Bioinformatics and Computational Biology 2010, BICoB 2010
T2 - 2nd International Conference on Bioinformatics and Computational Biology 2010, BICoB 2010
Y2 - 24 March 2010 through 26 March 2010
ER -