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Network Medicine: Complex Systems in Human Disease and Therapeutics

Contributor(s): Loscalzo, Joseph (Editor), Barabási, Albert-László (Editor), Silverman, Edwin K (Editor), Antman, Elliott M (Contribution by), Calderwood, Michael A (Contribution by), Charloteaux, Benoit (Contribution by), Clish, Clary B (Contribution by), Cusick, Michael E (Contribution by), Demeo, Dawn Lisa (Contribution by), Earls, John C (Contribution by), Eddy, James A (Contribution by), Ghosh, Samik (Contribution by), Glass, Kimberly R (Contribution by), Gunawardena, Jeremy (Contribution by), Hill, David E (Contribution by), Huvent, Isabelle (Contribution by), Kitano, Hiroaki (Contribution by), Landrieu, Isabelle (Contribution by), Lasky-Su, Jessica (Contribution by), Leroy, Arnaud (Contribution by), Lippens, Guy (Contribution by), Litonjua, Augusto A (Contribution by), Luke, Douglas (Contribution by), Ma, Shuyi (Contribution by), MacRae, Calum A (Contribution by), Menche, Jörg (Contribution by), Palaniappan, Sucheendra K (Contribution by), Parent, Benjamin (Contribution by), Prabakaran, Sudhakaran (Contribution by), Price, Nathan (Contribution by), Quackenbush, John (Contribution by), Rolland, Thomas (Contribution by), Schoen, Martin W (Contribution by), Smet-Nocca, Caroline (Contribution by), Sordillo, Joanne E (Contribution by), Vidal, Marc (Contribution by), Weinstock, George M (Contribution by), Weiss, Scott Tillman (Contribution by)

ISBN: 9780674436534

Publisher: Harvard University Press

Hardcover
$59.00
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Pub Date: February 1, 2017

Dewey: 610.285

LCCN: 2016006644

Lexile Code: 0000

Features: Illustrated, Index, Price on Product

Target Age Group: NA to NA

Physical Info: 1.10" H x 9.40" L x 6.50" W ( 2.10 lbs) 448 pages

Descriptions, Reviews, etc.

Description: 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.

Brief description: Edwin K. Silverman is Chief of the Channing Division of Network Medicine at Brigham and Women's Hospital and Professor of Medicine at Harvard Medical School.

Review Quotes: What will a human look like at molecular levels? The study behind the general concept of Network Medicine examines the effort to identify the blueprint and principles that will enable us to understand this complex life system at molecular levels. This book presents the state of the knowledge of network medicine and is an excellent reference for both experts in the area and general population interested in life science.--Weiniu Gan, National Heart, Lung, and Blood Institute

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