Ontology highlight
ABSTRACT:
SUBMITTER: Olsen C
PROVIDER: S-EPMC4535466 | biostudies-literature | 2015 Jun
REPOSITORIES: biostudies-literature
Olsen Catharina C Fleming Kathleen K Prendergast Niall N Rubio Renee R Emmert-Streib Frank F Bontempi Gianluca G Quackenbush John J Haibe-Kains Benjamin B
Genomics data 20150401
Quantitative validation of gene regulatory networks (GRNs) inferred from observational expression data is a difficult task usually involving time intensive and costly laboratory experiments. We were able to show that gene knock-down experiments can be used to quantitatively assess the quality of large-scale GRNs via a purely data-driven approach (Olsen et al. 2014). Our new validation framework also enables the statistical comparison of multiple network inference techniques, which was a long-sta ...[more]