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The stochastic mapping method assumes an evolutionary model.
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The genome-wide linkage analysis using the interval mapping method, assuming a binary trait on 55 F2 progeny, yielded a LOD score peak on mouse chromosome four flanked by the markers D4Mit108 and D4Mit139 with a LOD score (LOD = 3.8) exceeding the threshold level for significance at 95% confidence (Fig. 4B).
Classical QTL mapping methods assume that traits follow a normal distribution [ 48].
Second, the earlier method assumes a first order dependence of the mapped reads [ 94], which cannot effectively bridge the larger and prevalent uncovered gaps along a transcribed region as we see in our and other RNA-seq datasets.
However, since this method assumes a linearized model, the resulting symmetric normal distributions for each parameter do not accurately reflect the mapping of nonlinear models [ 7].
The method assumes a turnout of approximately 50percenttomorrowow.
The method assumes approximately 50percentturnoutut in November.
First, the method assumes that an extreme point is known.
This method assumes the heart is homogeneous and isotropic.
The method assumes small amplitude oscillations without flow separation.
The first method assumes a steady state.
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