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Figure 1 | BMC Bioinformatics

Figure 1

From: Estimating developmental states of tumors and normal tissues using a linear time-ordered model

Figure 1

Development trajectory in Cell State Space and transformations to cell developmental state line in a sub space. In cell status space, the development process is represented as a segment of line; the experimental samples are selected to represent time points in this continuous segment. After experimental detection such as microarray hybridization or proteins 2D-eletrophoresis, the experimental samples have transformed to points in the sub-attribute space (microarray space or proteomics space). The time-ordered linear model projects the samples points to the cell developmental state line which keeps the strict temporal order of every sample and conserves distance ratio between neighbor points.

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