MARC details
000 -LEADER |
fixed length control field |
03718cam a2200349 i 4500 |
001 - CONTROL NUMBER |
control field |
18973787 |
003 - CONTROL NUMBER IDENTIFIER |
control field |
IIITD |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20240813020004.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
160209s2017 maua 001 0 eng c |
010 ## - LIBRARY OF CONGRESS CONTROL NUMBER |
LC control number |
2016006644 |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9780674436534 |
040 ## - CATALOGING SOURCE |
Original cataloging agency |
MH/DLC |
Language of cataloging |
eng |
Transcribing agency |
MH |
Description conventions |
rda |
Modifying agency |
DLC |
042 ## - AUTHENTICATION CODE |
Authentication code |
pcc |
050 00 - LIBRARY OF CONGRESS CALL NUMBER |
Classification number |
R858 |
Item number |
.N48 2017 |
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER |
Classification number |
610.285 |
Edition number |
23 |
Item number |
LOS-M |
100 ## - MAIN ENTRY--PERSONAL NAME |
Personal name |
Loscalzo, Joseph (ed.) |
245 00 - TITLE STATEMENT |
Title |
Network medicine : |
Remainder of title |
complex systems in human disease and therapeutics |
Statement of responsibility, etc |
Joseph Loscalzo(ed.), Albert-László Barabási (ed.), Edwin K. Silverman (ed.) |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
Place of publication, distribution, etc |
Cambridge : |
Name of publisher, distributor, etc |
Harvard University Press, |
Date of publication, distribution, etc |
©2017 |
300 ## - PHYSICAL DESCRIPTION |
Extent |
xi, 436 p. : |
Other physical details |
ill, ; |
Dimensions |
25 cm. |
500 ## - GENERAL NOTE |
General note |
Includes index. |
505 0# - FORMATTED CONTENTS NOTE |
Formatted contents note |
Scientific basis of network medicine / Edwin K. Silverman and Joseph Loscalzo -- Introduction to network analysis / Jorg Menche and Albert-Laszlo Barabasi -- Human interactomes in network medicine / Michael E. Cusick, Benoit Charloteaux, Thomas Rolland, Michael A. Calderwood, David E. Hill, and Marc Vidal -- Social networks in human disease / Martin W. Schoen and Douglas Luke -- Phenotype, pathophenotype and endo(patho)phenotype in network medicine / Calum A. MacRae -- A new paradigm for defining human disease and therapy / Joseph Loscalzo -- Complex disease genetics and network medicine / Edwin K. Silverman -- Transcriptomics and network medicine / Kimberly Glass and John Quackenbush -- Post-translational modifications of the proteome: the example of Tau in the neuron and the brain / Guy Lippens, Jeremy Gunawardena, Isabelle Landrieu, Caroline Smet-Nocca, Sudhakaran Prabakaran, Benjamin Parent, Arnaud Leroy, and I. Huvent -- Epigenetics and network medicine / Dawn L. DeMeo and Scott T. Weiss -- Metabolomics and network medicine / Jessica Lasky-Su and Clary B. Clish -- Using integrative Omics approaches in network medicine / Shuyi Ma, John C. Earls, James A. Eddy, and Nathan D. Price -- Cancer network medicine / Takeshi Hase, Samik Ghosh, Sucheendra K Palaniappan, and Hiroaki Kitano -- Systems pharmacology in network medicine / Edwin K. Silverman and Joseph Loscalzo -- Systems approaches to clinical trials / Elliott M. Antman -- Microbiomics in network medicine / Joanne E. Sordillo, George M. Weinstock, and Augusto A. Litonjua. |
520 ## - SUMMARY, ETC. |
Summary, etc |
"Network medicine, a new field which developed from the application of systems biology approaches to human disease, embraces the complexity of multifactorial influences on disease, which can be driven by non-linear effects and molecular and statistical interactions.The development of comprehensive and affordable Omics platforms provides the data types for network medicine, and graph theory and statistical physics provide the theoretical framework to analyze networks. While network medicine provides a fundamentally different approach to understanding disease etiology, it will also lead to key differences in how diseases are treated--with multiple molecular targets that may require manipulation in a coordinated, dynamic fashion. Much remains to be learned regarding the optimal approaches to integrate different Omics data types and to perform network analyses; this book provides an overview of the progress that has been made and the challenges that remain."-- |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Medical informatics. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Data integration (Computer science) |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Diseases |
General subdivision |
Causes and theories of causation |
-- |
Data processing. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Therapeutics |
General subdivision |
Data processing. |
700 1# - ADDED ENTRY--PERSONAL NAME |
Personal name |
Barabási, Albert-László (ed.) |
700 1# - ADDED ENTRY--PERSONAL NAME |
Personal name |
Silverman, Edwin K. (ed.) |
906 ## - LOCAL DATA ELEMENT F, LDF (RLIN) |
a |
7 |
b |
cbc |
c |
orignew |
d |
1 |
e |
ecip |
f |
20 |
g |
y-gencatlg |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Source of classification or shelving scheme |
Dewey Decimal Classification |
Koha item type |
Books |
Koha issues (borrowed), all copies |
6 |