The 14 papers consider how various methods in artificial intelligence are applied to problems in bioinformatics. Among the topics are statistical learning and kernel methods in bioinformatics, new machine learning methods for predicting protein topologies, multiple sequence alignments information in structure and function prediction, pattern discovery and the algorithms of surprise, the computational identification of regulatory sites in DNA sequences, computer system gene discovery for promoter structure analysis, and data acquisition and analysis in near-genome-wide expressions screening of tumor suppressor pathways using model cell lines with inducible transcription factors. There is no subject index. Annotation ©2004 Book News, Inc., Portland, OR (booknews.com)
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
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.
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.
„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
Anbieter: Anybook.com, Lincoln, Vereinigtes Königreich
Zustand: Good. Volume 183. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. Clean from markings. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,750grams, ISBN:9781586032944. Artikel-Nr. 9906630
Anzahl: 1 verfügbar