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Mining Metabolic Networks and Biomedical Literature - Knowledge Discovery and Analysis - Cakmak, Ali
Vergriffenes Buch, derzeit bei uns nicht verfügbar.
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Cakmak, Ali:
Mining Metabolic Networks and Biomedical Literature - Knowledge Discovery and Analysis - Taschenbuch

2010, ISBN: 9783639229127

[ED: Taschenbuch / Paperback], [PU: VDM Verlag Dr. Müller], 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., DE, [SC: 0.00], Neuware, gewerbliches Angebot, H: 220mm, B: 150mm, T: 12mm, 244, [GW: 340g], Selbstabholung und Barzahlung, PayPal, offene Rechnung, Banküberweisung, Interntationaler Versand

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Mining Metabolic Networks and Biomedical Literature - Knowledge Discovery and Analysis - Cakmak, Ali
Vergriffenes Buch, derzeit bei uns nicht verfügbar.
(*)
Cakmak, Ali:
Mining Metabolic Networks and Biomedical Literature - Knowledge Discovery and Analysis - Taschenbuch

2010, ISBN: 9783639229127

[ED: Taschenbuch / Paperback], [PU: VDM Verlag Dr. Müller], 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., DE, [SC: 0.00], Neuware, gewerbliches Angebot, H: 220mm, B: 150mm, T: 12mm, 244, [GW: 340g], Selbstabholung und Barzahlung, PayPal, offene Rechnung, Banküberweisung, Internationaler Versand

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Mining Metabolic Networks and Biomedical Literature - Ali Cakmak
Vergriffenes Buch, derzeit bei uns nicht verfügbar.
(*)
Ali Cakmak:
Mining Metabolic Networks and Biomedical Literature - Taschenbuch

ISBN: 9783639229127

[ED: Taschenbuch], [PU: VDM Verlag], Neuware - 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., DE, [SC: 0.00], Neuware, gewerbliches Angebot, 220x150x15 mm, 244, [GW: 380g], PayPal, offene Rechnung, Banküberweisung, Interntationaler Versand

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Mining Metabolic Networks and Biomedical Literature - Knowledge Discovery and Analysis
Vergriffenes Buch, derzeit bei uns nicht verfügbar.
(*)
Mining Metabolic Networks and Biomedical Literature - Knowledge Discovery and Analysis - Taschenbuch

2010, ISBN: 9783639229127

[ED: Taschenbuch / Paperback], [PU: VDM Verlag Dr. Müller], 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., [SC: 0.00], Neuware, gewerbliches Angebot, H: 220mm, B: 150mm, T: 12mm, [GW: 340g]

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Mining Metabolic Networks and Biomedical Literature - Ali Cakmak
Vergriffenes Buch, derzeit bei uns nicht verfügbar.
(*)
Ali Cakmak:
Mining Metabolic Networks and Biomedical Literature - Taschenbuch

ISBN: 9783639229127

[ED: Taschenbuch], [PU: VDM Verlag], Neuware - 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., [SC: 0.00], Neuware, gewerbliches Angebot, 220x150x15 mm, [GW: 380g]

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Details zum Buch
Mining Metabolic Networks and Biomedical Literature

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.

Detailangaben zum Buch - Mining Metabolic Networks and Biomedical Literature


EAN (ISBN-13): 9783639229127
ISBN (ISBN-10): 3639229126
Gebundene Ausgabe
Taschenbuch
Erscheinungsjahr: 2010
Herausgeber: VDM Verlag
244 Seiten
Gewicht: 0,380 kg
Sprache: eng/Englisch

Buch in der Datenbank seit 15.07.2008 11:46:03
Buch zuletzt gefunden am 26.10.2017 17:15:15
ISBN/EAN: 3639229126

ISBN - alternative Schreibweisen:
3-639-22912-6, 978-3-639-22912-7


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