DTMBIO 2013 - The Seventh International Workshop on Data and Text Mining in Biomedical Informatics

Biological researchers face the current challenge of making effective use of the enormous amount of electronic biomedical data in order to better understand and explain complex biological systems. The biomedical data repositories include data in a wide variety of forms, including bibliographic information from electronic medical journals, gene expression data from Microarray experiments, protein identification and quantification data from proteomics experiments, genomic sequences gathered by the Human Genome Project, and patient healthcare records. The ability to automatically and effectively extract, integrate, understand and make use of information embedded in such heterogeneous - structured and unstructured - data remains a challenging task.
We invite the submission of papers that propose ways to address the variety of aspects involved in meeting this challenge.
Organizers
Dohen Lee, KAIST, South Korea
Atul Butte, Stanford University, USA
Min Song, Yonsei University, South Korea
Hua Xu, University of Texas, USA
Worshop website: http://informatics.yonsei.ac.kr/dtmbio13/home.html