Journal article

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

Jasmin Straube, Bevan Emma Huang, Kim-Anh Le Cao



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 positives when multiple sources highlight the same pathways. However, integrative approaches must accommodate the challenges inherent in 'omics' data, including high-dimensionality, noise, and timing differenc..

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University of Melbourne Researchers


Awarded by National Health and Medical Research Council Career Development (NHMRC) fellowship

Awarded by Australian Research Council

Funding Acknowledgements

This work was supported by the Wound Management Innovation CRC (established and supported under the Australian Government's Cooperative Research Centres Program) [JS], the Australian Cancer Research Foundation (ACRF) for the Diamantina Individualised Oncology Care Centre and National Health and Medical Research Council Career Development (NHMRC) fellowship [APP1087415 to KALC] and the Australian Research Council [DE120101127 to BEH].