Biological Data Integration

Regular price €163.68
Quantity:
In stock with our UK publisher. 14-28 days
Delivery/Collection within 10-20 working days
14 days return policy Shipping & Delivery
Age Group_Uncategorized
Age Group_Uncategorized
automatic-update
B01=Christine Froidevaux
B01=Guillem Rigaill
B01=Marie-Laure Martin-Magniette
biological data
biological data science
Category1=Non-Fiction
Category=PS
Category=PSAX
Category=UYM
COP=United Kingdom
data integration
Delivery_Delivery within 10-20 working days
eq_bestseller
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_science
Language_English
PA=Available
Price_€100 and above
PS=Active
softlaunch
statistical analysis

Product details

  • ISBN 9781789450309
  • Weight: 667g
  • Publication Date: 13 Dec 2023
  • Publisher: ISTE Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
  • Language: English
Secure checkout Fast Shipping Easy returns

The study of biological data is constantly undergoing profound changes. Firstly, the volume of data available has increased considerably due to new high throughput techniques used for experiments. Secondly, the remarkable progress in both computational and statistical analysis methods and infrastructures has made it possible to process these voluminous data.

The resulting challenge concerns our ability to integrate these data, i.e. to use their complementary nature effectively in the hope of advancing our knowledge. Therefore, a major challenge in studying biology today is integrating data for the most exhaustive analysis possible.

Biological Data Integration deals in a pedagogical way with research work in biological data science, examining both computational approaches to data integration and statistical approaches to the integration of omics data.

Christine Froidevaux is Professor Emeritus of Computer Science at the Université Paris-Saclay, France, and her research focuses on data integration for biological systems.

Marie-Laure Martin-Magniette is Research Director at INRAE, France, where she develops statistical methodologies for analyzing and integrating omics data.

Guillem Rigaill is Research Director at INRAE, France, where he develops statistical methodologies for (multi)omics analysis.