Abstract
Data in the life sciences is being obtained at a steadily increasing speed. Modern technology enables observing many of the fundamental building blocks of a cell such as genes and their activity or metabolites and their concentration, as well as many phenotypical parameters on a macroscopic level, such as shape, volume or tissue composition. The sequencing of a large number of genomes-the blueprints of life-enabled so-called post-genomics methods. The suffix '-omics' indicates the generation of data on a large, comprehensive scale. Genomics thus studies all genes and proteomics all proteins in a cell or a tissue. Recent developments have led to a staggering list of these omics technologies. © 2014 Springer International Publishing.
Cite
CITATION STYLE
Kohlbacher, O., Schreiber, F., & Ward, M. O. (2014). Multivariate networks in the life sciences. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8380 LNCS, pp. 61–73). Springer Verlag. https://doi.org/10.1007/978-3-319-06793-3_4
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
