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Mining Metabolic Networks And Biomedical Literature - Ali Cakmak
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Ali Cakmak:

Mining Metabolic Networks And Biomedical Literature - gebrauchtes Buch

2010, ISBN: 9783639229127

ID: 9783639229127

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 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. Books, Books ~~ Computers~~ General, Mining-Metabolic-Networks-And-Biomedical-Literature~~Ali-Cakmak, 999999999, Mining Metabolic Networks And Biomedical Literature, Ali Cakmak, 3639229126, VDM Verlag, 1/19/2010 12:00:00 AM, , , , VDM Verlag

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Mining Metabolic Networks and Biomedical Literature - Ali Cakmak
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ISBN: 9783639229127

ID: a42e5e917a190a036f573209309c95b4

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. Bücher / Naturwissenschaften, Medizin, Informatik & Technik / Informatik & EDV / Informatik, [PU: VDM Verlag Dr. Müller, Saarbrücken]

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Ali Cakmak:
Mining Metabolic Networks and Biomedical Literature - Taschenbuch

2010

ISBN: 3639229126

ID: 9777080168

[EAN: 9783639229127], Neubuch, [PU: Vdm Verlag Jan 2010], This item is printed on demand - Print on Demand Titel. - 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. 244 pp. Englisch

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Ali Cakmak:
Mining Metabolic Networks and Biomedical Literature - Taschenbuch

2010, ISBN: 3639229126

ID: 9777080168

[EAN: 9783639229127], Neubuch, [PU: Vdm Verlag Jan 2010], This item is printed on demand - Print on Demand Titel. - 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. 244 pp. Englisch

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Mining Metabolic Networks and Biomedical Literature - Cakmak, Ali
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Cakmak, Ali:
Mining Metabolic Networks and Biomedical Literature - Taschenbuch

2010, ISBN: 3639229126

Gebundene Ausgabe, ID: 6127149

Knowledge Discovery and Analysis - Buch, gebundene Ausgabe, 244 S., Beilagen: Paperback, Erschienen: 2010 VDM Verlag, [PU: VDM Verlag Dr. Müller, Saarbrücken]

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Details zum Buch
Mining Metabolic Networks and Biomedical Literature
Autor:

Cakmak, Ali

Titel:

Mining Metabolic Networks and Biomedical Literature

ISBN-Nummer:

3639229126

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 18.10.2016 18:21:14
ISBN/EAN: 3639229126

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

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