Computational Statistics Solutions for Molecular Biomedical Research: A Challenge and Chance for Both
- Resource Type
- Authors
- Axel Benner; Christina Wunder; Wiebke Werft; Lutz Edler
- Source
- Proceedings of COMPSTAT'2010 ISBN: 9783790826036
COMPSTAT
- Subject
- Computer science
business.industry
Salient
Research areas
Computational statistics
Data interpretation
Research questions
Enhanced Data Rates for GSM Evolution
business
Data science
Biomedicine
- Language
Computational statistics, supported by computing power and availability of efficient methodology, techniques and algorithms on the statistical side and by the perception on the need of valid data analysis and data interpretation on the biomedical side, has invaded in a very short time many cutting edge research areas of molecular biomedicine. Two salient cutting edge biomedical research questions demonstrate the increasing role and decisive impact of computational statistics. The role of well designed and well communicated simulation studies is emphasized and computational statistics is put into the framework of the International Association of Statistical Computing (IASC) and special issues on Computational Statistics within Clinical Research launched by the journal Computational Statistics and Data Analysis (CSDA).