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Updated: Dec 14, 2025

Temporal Ordering of Dynamic Expression Data from Detailed Spatial Expression Maps
Published on: February 9, 2017
Temporal ordering of omics and multiomic events inferred from time-series data
Sandeep Kaur1,2, Timothy J Peters1, Pengyi Yang3,4
1Garvan Institute of Medical Research, Darlinghurst, NSW, 2010, Australia.
Abstract:
Temporal changes in omics events can now be routinely measured; however, current analysis methods are often inadequate, especially for multiomics experiments. We report a novel analysis method that can infer event ordering at better temporal resolution than the experiment, and integrates omic events into two concise visualizations (event maps and sparklines). Testing our method gave results well-correlated with prior knowledge and indicated it streamlines analysis of time-series data.
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