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Publicado por Harvard University Press, 2017
ISBN 10: 0674436539ISBN 13: 9780674436534
Librería: ThriftBooks-Atlanta, AUSTELL, GA, Estados Unidos de America
Libro
Hardcover. Condición: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less 2.25.
Publicado por Harvard University Press, 2017
ISBN 10: 0674436539ISBN 13: 9780674436534
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
Libro
Condición: As New. Unread book in perfect condition.
Publicado por Harvard University Press, 2017
ISBN 10: 0674436539ISBN 13: 9780674436534
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
Libro
Condición: New.
Publicado por Harvard University Press, Cambridge, Mass, 2017
ISBN 10: 0674436539ISBN 13: 9780674436534
Librería: Grand Eagle Retail, Wilmington, DE, Estados Unidos de America
Libro
Hardcover. Condición: new. Hardcover. Big data, genomics, and quantitative approaches to network-based analysis are combining to advance the frontiers of medicine as never before. Network Medicine introduces this rapidly evolving field of medical research, which promises to revolutionize the diagnosis and treatment of human diseases. With contributions from leading experts that highlight the necessity of a team-based approach in network medicine, this definitive volume provides readers with a state-of-the-art synthesis of the progress being made and the challenges that remain.Medical researchers have long sought to identify single molecular defects that cause diseases, with the goal of developing silver-bullet therapies to treat them. But this paradigm overlooks the inherent complexity of human diseases and has often led to treatments that are inadequate or fraught with adverse side effects. Rather than trying to force disease pathogenesis into a reductionist model, network medicine embraces the complexity of multiple influences on disease and relies on many different types of networks: from the cellular-molecular level of protein-protein interactions to correlational studies of gene expression in biological samples. The authors offer a systematic approach to understanding complex diseases while explaining network medicine's unique features, including the application of modern genomics technologies, biostatistics and bioinformatics, and dynamic systems analysis of complex molecular networks in an integrative context.By developing techniques and technologies that comprehensively assess genetic variation, cellular metabolism, and protein function, network medicine is opening up new vistas for uncovering causes and identifying cures of disease. Big data, genomics, and quantitative approaches to network-based analysis are combining to advance the frontiers of medicine as never before. With contributions from leading experts, Network Medicine introduces this rapidly evolving field of research, which promises to revolutionize the diagnosis and treatment of human diseases. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Publicado por Harvard University Press 2017-02-03, Cambridge, Massachusetts, 2017
ISBN 10: 0674436539ISBN 13: 9780674436534
Librería: Blackwell's, London, Reino Unido
Libro
hardback. Condición: New. Language: ENG.
Publicado por Harvard University Press, 2017
ISBN 10: 0674436539ISBN 13: 9780674436534
Librería: Ria Christie Collections, Uxbridge, Reino Unido
Libro
Condición: New. In English.
Publicado por Harvard University Press, 2017
ISBN 10: 0674436539ISBN 13: 9780674436534
Librería: Brook Bookstore, Milano, MI, Italia
Libro
Condición: new.
Publicado por Harvard University Press, 2017
ISBN 10: 0674436539ISBN 13: 9780674436534
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
Libro
Hardback. Condición: New. New copy - Usually dispatched within 4 working days. Big data, genomics, and quantitative approaches to network-based analysis are combining to advance the frontiers of medicine as never before. With contributions from leading experts, Network Medicine introduces this rapidly evolving field of research, which promises to revolutionize the diagnosis and treatment of human diseases.
Publicado por Harvard University Press, 2017
ISBN 10: 0674436539ISBN 13: 9780674436534
Librería: Byrd Books, Austin, TX, Estados Unidos de America
Libro
Hardcover. Condición: very good. In Used Condition.
Publicado por Harvard University Press, 2017
ISBN 10: 0674436539ISBN 13: 9780674436534
Librería: GreatBookPricesUK, Castle Donington, DERBY, Reino Unido
Libro
Condición: New.
Publicado por Harvard Univ Pr, 2017
ISBN 10: 0674436539ISBN 13: 9780674436534
Librería: Revaluation Books, Exeter, Reino Unido
Libro
Hardcover. Condición: Brand New. 1st edition. 436 pages. 9.50x6.50x1.25 inches. In Stock.
Publicado por Harvard University Press, 2017
ISBN 10: 0674436539ISBN 13: 9780674436534
Librería: Books Puddle, New York, NY, Estados Unidos de America
Libro
Condición: New. pp. 500.
Publicado por Harvard University Press, 2017
ISBN 10: 0674436539ISBN 13: 9780674436534
Librería: GreatBookPricesUK, Castle Donington, DERBY, Reino Unido
Libro
Condición: As New. Unread book in perfect condition.
Publicado por Harvard University Press, 2017
ISBN 10: 0674436539ISBN 13: 9780674436534
Librería: GoldenWavesOfBooks, Fayetteville, TX, Estados Unidos de America
Libro
Hardcover. Condición: new. New. Fast Shipping and good customer service.
Publicado por Harvard University Press, 2017
ISBN 10: 0674436539ISBN 13: 9780674436534
Librería: Grumpys Fine Books, Tijeras, NM, Estados Unidos de America
Libro
Hardcover. Condición: new. Prompt service guaranteed.
Publicado por Harvard University Press, 2017
ISBN 10: 0674436539ISBN 13: 9780674436534
Librería: Books Unplugged, Amherst, NY, Estados Unidos de America
Libro
Condición: New. Buy with confidence! Book is in new, never-used condition 2.12.
Publicado por Harvard University Press, 2017
ISBN 10: 0674436539ISBN 13: 9780674436534
Librería: GoldBooks, Denver, CO, Estados Unidos de America
Libro
Hardcover. Condición: very good. Very Good Copy. Customer Service Guaranteed.
Publicado por Harvard University Press, 2017
ISBN 10: 0674436539ISBN 13: 9780674436534
Librería: Majestic Books, Hounslow, Reino Unido
Libro
Condición: New. pp. 500.
Publicado por Harvard University Press, 2017
ISBN 10: 0674436539ISBN 13: 9780674436534
Librería: Wizard Books, Long Beach, CA, Estados Unidos de America
Libro
Hardcover. Condición: new. New.
Publicado por Harvard University Press, 2017
ISBN 10: 0674436539ISBN 13: 9780674436534
Librería: Speedyhen, London, Reino Unido
Libro
Condición: NEW.
Publicado por Harvard University Press Feb 2017, 2017
ISBN 10: 0674436539ISBN 13: 9780674436534
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Libro
Buch. Condición: Neu. Neuware - Big data, genomics, and quantitative approaches to network-based analysis are combining to advance the frontiers of medicine as never before. With contributions from leading experts, Network Medicine introduces this rapidly evolving field of research, which promises to revolutionize the diagnosis and treatment of human diseases.
Publicado por Harvard University Press, Cambridge, Mass, 2017
ISBN 10: 0674436539ISBN 13: 9780674436534
Librería: CitiRetail, Stevenage, Reino Unido
Libro
Hardcover. Condición: new. Hardcover. Big data, genomics, and quantitative approaches to network-based analysis are combining to advance the frontiers of medicine as never before. Network Medicine introduces this rapidly evolving field of medical research, which promises to revolutionize the diagnosis and treatment of human diseases. With contributions from leading experts that highlight the necessity of a team-based approach in network medicine, this definitive volume provides readers with a state-of-the-art synthesis of the progress being made and the challenges that remain.Medical researchers have long sought to identify single molecular defects that cause diseases, with the goal of developing silver-bullet therapies to treat them. But this paradigm overlooks the inherent complexity of human diseases and has often led to treatments that are inadequate or fraught with adverse side effects. Rather than trying to force disease pathogenesis into a reductionist model, network medicine embraces the complexity of multiple influences on disease and relies on many different types of networks: from the cellular-molecular level of protein-protein interactions to correlational studies of gene expression in biological samples. The authors offer a systematic approach to understanding complex diseases while explaining network medicine's unique features, including the application of modern genomics technologies, biostatistics and bioinformatics, and dynamic systems analysis of complex molecular networks in an integrative context.By developing techniques and technologies that comprehensively assess genetic variation, cellular metabolism, and protein function, network medicine is opening up new vistas for uncovering causes and identifying cures of disease. Big data, genomics, and quantitative approaches to network-based analysis are combining to advance the frontiers of medicine as never before. With contributions from leading experts, Network Medicine introduces this rapidly evolving field of research, which promises to revolutionize the diagnosis and treatment of human diseases. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Publicado por Harvard University Press, 2017
ISBN 10: 0674436539ISBN 13: 9780674436534
Librería: Front Cover Books, Denver, CO, Estados Unidos de America
Libro
Condición: new.
Publicado por Harvard University Press, 2017
ISBN 10: 0674436539ISBN 13: 9780674436534
Librería: moluna, Greven, Alemania
Libro
Condición: New. Big data, genomics, and quantitative approaches to network-based analysis are combining to advance the frontiers of medicine as never before. With contributions from leading experts, Network Medicine introduces this rapidly evolving field of research, which.
Publicado por Harvard University Press, 2017
ISBN 10: 0674436539ISBN 13: 9780674436534
Librería: Kennys Bookstore, Olney, MD, Estados Unidos de America
Libro
Condición: New. 2017. 1st Edition. Hardcover. Big data, genomics, and quantitative approaches to network-based analysis are combining to advance the frontiers of medicine as never before. With contributions from leading experts, Network Medicine introduces this rapidly evolving field of research, which promises to revolutionize the diagnosis and treatment of human diseases. Editor(s): Loscalzo, Joseph; Barabasi, Albert-Laszlo; Silverman, Edwin K. Num Pages: 500 pages, 135 color illustrations. BIC Classification: MFN; MJC. Category: (P) Professional & Vocational. Dimension: 168 x 242 x 33. Weight in Grams: 1002. . . . . . Books ship from the US and Ireland.
Publicado por Harvard University Press, 2017
ISBN 10: 0674436539ISBN 13: 9780674436534
Librería: GoldBooks, Denver, CO, Estados Unidos de America
Libro
Hardcover. Condición: new. New Copy. Customer Service Guaranteed.
Publicado por Harvard University Press, 2017
ISBN 10: 0674436539ISBN 13: 9780674436534
Librería: Toscana Books, AUSTIN, TX, Estados Unidos de America
Libro
Hardcover. Condición: very good. Purchase pre-owned books for prompt service and customer satisfaction.
Publicado por Harvard University Press, 2017
ISBN 10: 0674436539ISBN 13: 9780674436534
Librería: SGS Trading Inc, Franklin Lakes, NJ, Estados Unidos de America
Libro
Hardcover. Condición: Good. Textbook, May Have Highlights, Notes and/or Underlining, BOOK ONLYNO ACCESS CODE, NO CD, Ships with Emailed Tracking.
Publicado por Harvard University Press, Cambridge, Mass, 2017
ISBN 10: 0674436539ISBN 13: 9780674436534
Librería: AussieBookSeller, Truganina, VIC, Australia
Libro
Hardcover. Condición: new. Hardcover. Big data, genomics, and quantitative approaches to network-based analysis are combining to advance the frontiers of medicine as never before. Network Medicine introduces this rapidly evolving field of medical research, which promises to revolutionize the diagnosis and treatment of human diseases. With contributions from leading experts that highlight the necessity of a team-based approach in network medicine, this definitive volume provides readers with a state-of-the-art synthesis of the progress being made and the challenges that remain.Medical researchers have long sought to identify single molecular defects that cause diseases, with the goal of developing silver-bullet therapies to treat them. But this paradigm overlooks the inherent complexity of human diseases and has often led to treatments that are inadequate or fraught with adverse side effects. Rather than trying to force disease pathogenesis into a reductionist model, network medicine embraces the complexity of multiple influences on disease and relies on many different types of networks: from the cellular-molecular level of protein-protein interactions to correlational studies of gene expression in biological samples. The authors offer a systematic approach to understanding complex diseases while explaining network medicine's unique features, including the application of modern genomics technologies, biostatistics and bioinformatics, and dynamic systems analysis of complex molecular networks in an integrative context.By developing techniques and technologies that comprehensively assess genetic variation, cellular metabolism, and protein function, network medicine is opening up new vistas for uncovering causes and identifying cures of disease. Big data, genomics, and quantitative approaches to network-based analysis are combining to advance the frontiers of medicine as never before. With contributions from leading experts, Network Medicine introduces this rapidly evolving field of research, which promises to revolutionize the diagnosis and treatment of human diseases. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Publicado por Harvard University Press, 2017
ISBN 10: 0674436539ISBN 13: 9780674436534
Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
Libro Original o primera edición
Condición: New. 2017. 1st Edition. Hardcover. Big data, genomics, and quantitative approaches to network-based analysis are combining to advance the frontiers of medicine as never before. With contributions from leading experts, Network Medicine introduces this rapidly evolving field of research, which promises to revolutionize the diagnosis and treatment of human diseases. Editor(s): Loscalzo, Joseph; Barabasi, Albert-Laszlo; Silverman, Edwin K. Num Pages: 500 pages, 135 color illustrations. BIC Classification: MFN; MJC. Category: (P) Professional & Vocational. Dimension: 168 x 242 x 33. Weight in Grams: 1002. . . . . .