Abstract

It is our great pleasure to welcome you to the ACM Seventh International Workshop on Data and Text Mining in Biomedical Informatics (DTMBIO'13), in conjunction with the 22nd ACM International Conference on Information and Knowledge Management (CIKM'13). Biomedical 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 genomic sequences, gene expression profiles, proteomics, metabolomics, epigenomics, microbiomics, electronics medical records, literature information, and so on. 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. The aim of the 2013 workshop has been to bring together researchers in the areas of data and text mining and computational biology, who are interested in integrating and analyzing heterogeneous, structured and unstructured data. The papers accepted for presentation and publication in this volume cover a variety of topics, including biomedical text mining, molecular bioinformatics, neuroinformatics, and systems biology. We hope that these proceedings will serve as a valuable and up-to-date reference concerning the application of data- and text-mining techniques within biomedical informatics.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.