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The most popular common data filtering method is the Kalman filter [14].
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This two-step data filtering resulted in a common set of 1726 IMAGE clones for the analysis of ductal and normal samples, and 2029 IMAGE clones for the analysis of lobular and normal samples.
Fig. 6 Sensor data filtering.
We used Kaper's data (filtered) and Duitama's data (filtered) for SIH in this section.
All WIST-based LIMS modules share a common user interface, which links data from related workflows (e.g. a prior or subsequent stage in a pipeline) and provides common features such as searching, data filtering and sorting that are essential for navigating the volumes of data produced in a high-throughput research environment.
All raw data sets were generated by each respective commercial entity (labeling, hybridization, image analyses and pre-processing data filtering) from a common source of biologically different RNAs (MCF-7, Jurkat, and Batt P12 cell lines).
We compared log2 fold-changes in expression for a total of 6,183 genes common to both RNA-seq and the microarray that passed the data filtering criteria.
Although Kalman filter is proposed fifty years ago, it is still one of the most important and common data fusion algorithms today.
Common data element.
Data filtering was done using Spotfire 9.1.1.
Data filtering was done on HKL2000.
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