DynOmics to identify delays and co-expression patterns across time course experiments

@article{Straube2016DynOmicsTI,
  title={DynOmics to identify delays and co-expression patterns across time course experiments},
  author={Jasmin Straube and Bevan Emma Huang and Kim-Anh L{\^e} Cao},
  journal={Scientific Reports},
  year={2016},
  volume={7}
}
Dynamic changes in biological systems can be captured by measuring molecular expression from different levels (e.g., genes and proteins) across time. Integration of such data aims to identify molecules that show similar expression changes over time; such molecules may be co-regulated and thus involved in similar biological processes. Combining data sources presents a systematic approach to study molecular behaviour. It can compensate for missing data in one source, and can reduce false… 
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An amendment to this paper has been published and can be accessed via the original article.

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