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

fYear

2013

fDate

18-21 Dec. 2013

Firstpage

279

Lastpage

280

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Bioinformatics and Biomedicine (BIBM), 2013 IEEE International Conference on

Conference_Location

Shanghai

Type

conf

DOI

10.1109/BIBM.2013.6732693

Filename

6732693