Artificial Intelligence and Heuristic Methods in Bioinformatics
- Frasconi, P., Shamir, R.
- Pub. date
- June 2003
- 183 of NATO Science Series, III: Computer and Systems Sciences
- ISBN print
- Artificial Intelligence, Computer & Communication Sciences
Computational tools are already of paramount importance for the development of molecular biology. Recent genome-sequencing projects and the availability of high-throughput technologies, such as DNA micro-arrays are generating an unprecedented wealth of data. The interpretation and elicitation of biological knowledge from data may deeply affect our understanding of life at the molecular level, with the potential for a revolutionary impact on biotechnology, pharmacology, and medicine. However, moving from data to knowledge requires powerful and sophisticated tools. This book will mainly focus on methods and algorithms developed within the artificial intelligence community. These include machine learning, data mining, knowledge discovery, pattern recognition, optimization techniques, and knowledge representation. All these methods can provide key solutions for the new challenges posed by the progressive transformation of biology into a data-massive science and are extremely important for the development of bioinformatics services and prediction tools. The book is targeted to computer scientists and bioinformatics researchers/practitioners who want to learn about the state-of-the-art in this area.