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Fig. 1 | BMC Bioinformatics

Fig. 1

From: Robust classification of wound healing stages in both mice and humans for acute and burn wounds based on transcriptomic data

Fig. 1

The pipeline of wound healing stage detection by transcriptomic data. From a list of all measured genes ("Gene list"), only differentially expressed genes are selected and grouped into "clusters" according to expression dynamics. The average gene expression value within each cluster at any given time is referred to as a "mean cluster value.” In the schematic, there are three such clusters (C1, C2, C3), and wound healing is presented as a temporal trajectory in the "cluster space". Each colored circle represents a three-dimensional vector in the cluster space corresponding to a single time point from a transcriptomic times series. The regions of the cluster space can then be classified into stages. This analysis may include considering several projections of the three-dimensional cluster space on to a two-dimensional plane to find the best one for discriminating between wound stages

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