Edited by
Christine Froidevaux, University of Paris-Saclay, France.
Marie-Laure Martin-Magniette, INRAE, France.
Guillem Rigaill, INRAE, France.
ISBN : 9781789450309
Publication Date : December 2023
Hardcover 274 pp
165.00 USD
Co-publisher
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.
Part 1. Knowledge Integration.
1. Clinical Data Warehouses, Maxime Wack and Bastien Rance.
2. Semantic Web Methods for Data Integration in Life Sciences, Olivier Dameron.
3. Workflows for Bioinformatics Data Integration, Sarah Cohen-Boulakia and Frédéric Lemoine.
Part 2. Integration and Statistics.
4. Variable Selection in the General Linear Model: Application to Multiomic Approaches for the Study of Seed Quality, Céline Lévy-Leduc, Marie Perrot-Dockès, Gwendal Cueff, and Loïc Rajjou.
5. Structured Compression of Genetic Information and Genome-Wide Association Study by Additive Models, Florent Guinot, Marie Szafranski, and Christophe Ambroise.
6. Kernels for Omics, Jérôme Mariette and Nathalie Vialaneix.
7. Multivariate Models for Data Integration and Biomarker Selection in ‘Omics Data, Sébastien Déjean and Kim-Anh Lê Cao.
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.
