Ontology highlight
ABSTRACT:
SUBMITTER: Zurauskiene J
PROVIDER: S-EPMC5217788 | biostudies-literature | 2016 Apr
REPOSITORIES: biostudies-literature
Žurauskienė Justina J Kirk Paul D W PD Stumpf Michael P H MP
Statistical applications in genetics and molecular biology 20160401 2
The rapid development of high throughput experimental techniques has resulted in a growing diversity of genomic datasets being produced and requiring analysis. Therefore, it is increasingly being recognized that we can gain deeper understanding about underlying biology by combining the insights obtained from multiple, diverse datasets. Thus we propose a novel scalable computational approach to unsupervised data fusion. Our technique exploits network representations of the data to identify simila ...[more]