Mohlo by se vám také líbit

Více informací o knize Mining Metabolic Networks and Biomedical Literature

• Parametry knihy
• Anotace
• Oblíbené z jiného soudku

Nákupem získáte 241 bodů

Anotace knihy

With the advent of high-throughput experimental and genome technologies, the amounts of produced biological data and the related literature have increased dramatically. A significant portion of the produced biological data has revealed genotypic features of many model organisms. An outstanding problem presently is to map the characterized genotypic features to their phenotypic properties with the ultimate goal of making high-impact scientific discoveries in areas including diagnosing/curing diseases, engineering genomes, and inventing drugs. To this end, three major challenges concerning the management and analysis of the available data are: high volume (e.g., thousands of genes, millions of publications), increasing diversity (e.g., genes, pathways, metabolic profiles), and high complexity (e.g., hierarchical organization of entities, graph structures). In this book, we discuss several biological data mining and analysis problems. The book addresses distinct keystones on the path from genotype (e.g., genes and functionality annotations) to phenotype (e.g., metabolite profile changes). This book is intended for all Bioinformatics and Data Mining researchers, as well as instructors.

Parametry knihy

Zařazení knihy Knihy v angličtině Computing & information technology Information technology: general issues

• Plný název: Mining Metabolic Networks and Biomedical Literature
• Podnázev: Knowledge Discovery and Analysis
• Autor: Ali Cakmak
• Jazyk: Angličtina
• Vazba: Brožovaná
• Počet stran: 244
• EAN: 9783639229127
• ISBN: 3639229126
• ID: 06830684
• Nakladatelství: VDM Verlag
• Hmotnost: 363 g
• Rozměry: 229 × 152 × 14 mm
• Datum vydání: 19. January 2010

Oblíbené z jiného soudku

---

---

---