Integrating phenotype-genotype data for prioritization of candidate symptom genes

Description

No / 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.

Links & Downloads

1. Xing L, Zhou X, Peng Y et al (2013) Integrating phenotype-genotype data for prioritization of candidate symptom genes. In: Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 18-21 Dec 2013, Shanghai, China: 279-280.
2. http://hdl.handle.net/10454/9755
3. https://doi.org/10.1109/BIBM.2013.6732693

Tags

Additional Fields

Identifer	oai:union.ndltd.org:BRADFORD/oai:bradscholars.brad.ac.uk:10454/9755
Date	January 2013
Creators	Xing, L., Zhou, X., Peng, Yonghong, Zhang, R., Hu, J., Yu, J., Liu, B.
Source Sets	Bradford Scholars
Detected Language	English
Type	Conference Paper, No full-text available in the repository