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More precise expressions that account for finite chromosome numbers and integrate over positions of linked mutations show that s ∼ d is generally no more than 4 s − Δ U h (Johnson 1999b; Lynch 2008).
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In our investigation, even in leaf and flag leaf, TalnRNA9 was differentially expressed, which suggested that long npcRNAs probably had much more precise expression regulation mechanisms.
A more precise expression is explored for the dimensionless group at the channel central line, i.e. Da0: when Da0>1 the entire cathode GDL CL (catalyst layer) interface is in two-phase region, whereas part of the interface is free of liquid water for Da0<1.
The standard deviation for technical replicates was notably smaller for the 24K panel indicating that the 24K panel produces more precise expression values.
Although we still cannot accurately describe a more precise expression evolution trajectory history at the current form, our work provides a starting point for experimental follow-up.
The standard deviation for extract replicates was again notably smaller for the 24K panel indicating that the 24K panel produces more precise expression values.
For populations of fixed size, as can be seen from expression (1) or the more precise expression (10) obtained by Kimura [ 19] and Moran [ 20], the fixation probability is a monotonically increasing function of the sole relative fitness.
The concepts of 'equipoise' defined in this literature are all attempts to give more precise expression to what is meant by 'uncertainty' here, and to give a sound basis to the ethical justification of randomisation in controlled trials.
A more precise expression of the latter result is that for one unit increase in ET-1 in urine, the mean rate of remission of acute phase (instantaneous remission rate) is reduced about 2%.
RNA-Seq holds a number of advantages to microarray solutions including more precise expression measurements with fewer biases and the ability to discover novel transcripts and isoforms [ 30, 31].
To circumvent the limitations and cope with a variety of particular patterns in time course, we present a statistical framework that enables more precise temporal expression profiling by incorporating autocorrelation measurement to determine relationship between consecutive expression profiles.
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