Mathematical modeling predicts that alterations in protein synthesis and degradation rates should change the oscillations period [ 79, 94] and this has been confirmed experimentally (Summarized in Table 3).
In contrast to visual methods for alteration detection, mathematical models can be used to automatically predict lists of alterations based on certain mathematical assumptions about the data.
Results: We propose SegAnnDB, a Web-based computer vision system for genomic segmentation: first, visually inspect the profiles and manually annotate altered regions, then SegAnnDB determines the precise alteration locations using a mathematical model of the data and annotations.
In this paper, we have designed a stochastic mathematical model of the accumulation of (epi genetic alterations in populations of cells to estimate the extent of heterogeneity over time (Fig. 1).
An engineer or physicist might strive to achieve mathematical linearity in an imaging system; however, the required alterations cause reproduced luminance to depart from linearity.
In addition, by fitting the experimental data to a modified mathematical model, we obtained a quantitative description of all alterations in the calcium signaling pathways in db/db mice, which has not been previously reported.
Although changes in the gamma distribution after normalization are relatively small, the alteration of the distribution leads to small mathematical inaccuracies [ 18].
Mathematical models are good at detecting the precise locations of alterations, if tuning parameters are adjusted appropriately.
We built a simple mathematical model of sugar utilization to qualitatively explore how different alterations to the pathway influence the response properties (see Supporting Information).
A mathematical model comprising conservation of mass, momentum, and ions for a hydrogel subject to alterations of the solution pH is derived, analyzed, validated and presented.
