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The vegetation type data set (Fig. 5) was provided by the Environmental and Ecological Science Data Center for West China, National Natural Science Foundation of China (http://westdc.westgis.ac.cn).ac.cn
For transfer efficiency data, a General Linear Model (with Tukey's test) was used to test for differences in sample point and tubing type, data set n = 3.
This wild type data set was useful in choosing which mutants to pursue in our secondary screen.
A simulated data set and a heart disease mixed type data set for proof-of-principle.
We evaluated the performance of models derived from "skipping type" data set characterization to explore the effect of image data density that would be sufficient for constructing accurate osteogenic differentiation models (Fig. 4).
The discovery of mass graves and the advent of the World Trade Center tragedy have underscored the necessity to better harness the information content of large DNA typing data sets with bioinformatic tools.
The proposed algorithm is more robust and well-suited to the pairs-trading strategy, and requires the same computational resources as those for the conventional Kalman filters on Gaussian-type data sets.
Expression profiling and histone methylation in mutant vs. wild-type data sets were normalized using the GeneSpring software and Lowess (per spot, per chip) intensity-dependent normalization, which corrects for nonlinear rates of dye incorporation.
We evaluated the CI performance using simulated and published microbial typing data sets.
Here we derive an analytical expression for the calculation of a CI for W and evaluate its performance in simulated and microbial typing data sets.
One of the challenges highlighted by our pilot study is the comparison of mutant and wild-type data sets.
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