Sentence examples for holds for data from inspiring English sources

Exact(1)

This conclusion cannot be accounted for by G+C biases in short-read sequencing [23] used to make some nucleosome maps, because the correlation also holds for data sets created using microarrays as a readout [1], [20], and for a data set that was normalized to sequencing counts for naked genomic DNA [9].

Similar(59)

For k⩾8, local well-posedness is shown to hold for data in Hs(R2), s>sk, where sk="1−3/ 2k−4).

The work [19] proposes eight general rules that hold for data stream processing; but the most important rules related to our work are: "keeping the data moving", "generating predictable outcomes", "guarantying data safety and availability", and "processing and respond instantaneously".

Similar observations and reasonings hold for data S2 and S3.

To ensure consistency and accuracy of data collection, a half-day intensive training session was held for data collectors prior to the collection of data, to be followed by a booster session in year 2. Training consisted of a standardized training guide and protocol including review of the instruments and measurement of infant recumbent length and weight.

Even if the assumption holds for efficacy data it may not translate to safety data as interventions could have physiological effect other than the mechanism of action, therefore we chose estimate effects for each intervention independently [ 50].

On the other hand, the output of the models should be quite similar, so that the postulated likelihood function approximately holds for the data, which might not hold as well when using the measurements as weights.

Nevertheless we have demonstrated that period prevalence rates for a wide range of diseases are similar to those in GPRD[ 22, 25], and this also holds for diabetes (data not shown).

There was no IL-10 expression in control cells which were not activated by Con A. 4) The same criticism holds for the data in figure 7. Are the cells that stain for IL-10 Foxp3+?

The standard assumption of normality cannot be held for such data, even with data transformation.

While this holds true for simulated data, it does not hold for empirical data, where this distance between sites is an approximation to the number of genetic steps between them (Hellberg 1994).

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