Title :
Integrating phenotype-genotype data for prioritization of candidate symptom genes
Author :
Xing Li ; Xuezhong Zhou ; Yonghong Peng ; Runshun Zhang ; Jingqing Hu ; Jian Yu ; Baoyan Liu
Author_Institution :
Sch. of Comput. & Inf. Technol., Beijing Jiaotong Univ., Beijing, China
Abstract :
Symptoms and signs (symptoms in brief) are the essential clinical manifestations for traditional Chinese medicine (TCM) diagnosis and treatments. To gain insights into the molecular mechanism of symptoms, this paper presents a network-based data mining method to integrate multiple phenotype-genotype data sources and predict the prioritizing gene rank list of symptoms. The result of this pilot study suggested some insights on the molecular mechanism of symptoms.
Keywords :
bioinformatics; data mining; diseases; genetics; health care; inference mechanisms; molecular biophysics; proteins; disease-gene associations; molecular mechanism; multiple phenotype-genotype data source integration; network inference algorithm; network-based data mining method; protein-protein interactions; symptom gene prioritization; symptom-disease relationships; traditional Chinese medicine; Bioinformatics; Correlation; Data mining; Diseases; Educational institutions; Medical diagnostic imaging; Proteins; complex network; phenotype-genotype data integration; symptom gene prioritization;
Conference_Titel :
Bioinformatics and Biomedicine (BIBM), 2013 IEEE International Conference on
Conference_Location :
Shanghai
DOI :
10.1109/BIBM.2013.6732693
