UID:
almahu_9948663650102882
Format:
1 online resource (x, 203 pages) :
,
digital, PDF file(s).
ISBN:
9781108553711 (ebook)
Content:
Biological systems are extremely complex and have emergent properties that cannot be explained or even predicted by studying their individual parts in isolation. The reductionist approach, although successful in the early days of molecular biology, underestimates this complexity. As the amount of available data grows, so it will become increasingly important to be able to analyse and integrate these large data sets. This book introduces novel approaches and solutions to the Big Data problem in biomedicine, and presents new techniques in the field of graph theory for handling and processing multi-type large data sets. By discussing cutting-edge problems and techniques, researchers from a wide range of fields will be able to gain insights for exploiting big heterogonous data in the life sciences through the concept of 'network of networks'.
Note:
Title from publisher's bibliographic system (viewed on 04 Mar 2021).
Additional Edition:
Print version: ISBN 9781108428873
Language:
English
URL:
https://doi.org/10.1017/9781108553711
