With the advent of large scale genomic sequencing methods, the precise nucleotide sequence comprising the chromosomes of many organisms has been ascertained. This advance makes the demand of automated genome annotation systems more urgent than ever. Translational initiation sites (TISs) are a type of important gene signals that are critical to the success of annotating genomes. In this book, I will present a novel approach that uses a general multi- agent architecture for accurate TIS prediction. A variety of agents have been employed which facilitate the system to arrive at the solution. A diversified set of techniques ranging from machine learning, evolutionary computation to swarm intelligence have been explored in our implementation. The experimental results on nine different data sets have demonstrated the advantage of using the proposed approach. A recommendation system that helps identify the optimal parameter settings for the system has been introduced which helps increase the efficiency of the entire model.
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
Anbieter: moluna, Greven, Deutschland
Kartoniert / Broschiert. Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Zeng JiaJia Zeng received her B.S. degree from Huazhong University of Science and Technology, China, in 2003, the M.S. degree from University of Northern British Columbia, Canada in 2005 and the Ph.D. degree from University of Ca. Bestandsnummer des Verkäufers 4966191
Anzahl: Mehr als 20 verfügbar
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - With the advent of large scale genomic sequencing methods, the precise nucleotide sequence comprising the chromosomes of many organisms has been ascertained. This advance makes the demand of automated genome annotation systems more urgent than ever. Translational initiation sites (TISs) are a type of important gene signals that are critical to the success of annotating genomes. In this book, I will present a novel approach that uses a general multi- agent architecture for accurate TIS prediction. A variety of agents have been employed which facilitate the system to arrive at the solution. A diversified set of techniques ranging from machine learning, evolutionary computation to swarm intelligence have been explored in our implementation. The experimental results on nine different data sets have demonstrated the advantage of using the proposed approach. A recommendation system that helps identify the optimal parameter settings for the system has been introduced which helps increase the efficiency of the entire model. Bestandsnummer des Verkäufers 9783639196863
Anzahl: 2 verfügbar
Anbieter: Books Puddle, Woodside, NY, USA
Zustand: New. Bestandsnummer des Verkäufers 26358974671
Anzahl: 4 verfügbar
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
Zustand: New. Print on Demand. Bestandsnummer des Verkäufers 353516304
Anzahl: 4 verfügbar
Anbieter: Biblios, Frankfurt am main, HESSE, Deutschland
Zustand: New. PRINT ON DEMAND. Bestandsnummer des Verkäufers 18358974661
Anzahl: 4 verfügbar
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
Paperback. Zustand: Brand New. 180 pages. 8.66x5.91x0.41 inches. In Stock. Bestandsnummer des Verkäufers __3639196864
Anzahl: 1 verfügbar
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
Paperback. Zustand: Brand New. 180 pages. 8.66x5.91x0.41 inches. In Stock. Bestandsnummer des Verkäufers 3639196864
Anzahl: 1 verfügbar