Unsupervised text mining for assessing and augmenting GWAS results.

Abstract excerpt

Text mining can assist in the analysis and interpretation of large-scale biomedical data, helping biologists to quickly and cheaply gain confirmation of hypothesized relationships between biological entities. We set this question in the context of genome-wide association studies (GWAS), an actively emerging field that contributed to identify many genes associated with multifactorial diseases. These studies allow...

Topics

Share this publication in a Topic to start or enrich a Post.

• Share to Algorithms
• Share to Asthma
• Share to Cluster Analysis