The phrase "arrays with data" is correct and usable in written English.
It can be used in contexts related to programming, data structures, or computer science when discussing collections of data organized in arrays.
Example: "The function processes arrays with data to perform the necessary calculations."
Alternatives: "data-filled arrays" or "arrays containing data".
We analyzed all these samples across the SNPs shared among these arrays, with data quality control applied collectively to all samples and sites (see below).
Other tools accomplish similar analyses, but typically assume that the data will consist at most tens of thousands of measurements from a single array, such as data generated from spotted arrays or from high-density arrays with data condensed into genic units.
Two arrays, NS21a and Sm27a had remarkably low %p and especially high SFs, both indicators of arrays with suspect data quality.
Thirteen arrays with missing data in more than 30% of the spots and 8 arrays with irregular distribution according to M-A plots (M and A representing respectively log-ratios and average intensities) [ 32] were excluded.
In this example, the convolved model array associated with data set id=1 is written to the FITS table 'source.fits'.fits
In this example, the unconvolved model array associated with data set id=1 is written to the FITS table 'source.fits'.fits
In this example, the filter array associated with data set id=1 is written to the FITS table file 'filter.fits'filter.fits
In this example, the simple data-minus-model counts residuals array associated with data set id=1 is written to the FITS file 'resid.fits'.fits
In this example, the delta chi residuals array associated with data set id=1 is written to the FITS file 'delchi.fits'.fits
We compared the ovary capture array data with data generated from tiled genomic microarrays to determine whether our capture methodology could identify a similar expressed gene set.
It also enables users to easily link the information available from the array producer with data in public databases, without the need of additional bioinformatics tools or pipelines.
