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Only those intronic miRNA-host gene pairs that showed consistent correlation patterns in both two miRNA microarray datasets was reserved for further analysis.

External validation in public gene expression microarray datasets was performed to ensure that differentially expressed genes were authentic candidates, which were not overfitted to a particular cohort.

Furthermore, in our pooled microarray analysis, a wide range of data from publicly available microarray datasets was included, increasing the number of specimens under investigation, to 129 BC samples and 17 controls in total.

Set-up of microarray-database using GEO and EGA-available microarray datasets was established as described previously [ 21].

The performance of various statistical or computational simulation methods on pair-designed microarray datasets was not sufficiently evaluated [ 27, 28].

Furthermore, the correlation between the AgNO3 and O3 microarray datasets was ρ = 0.60, hinting that silver nitrate induced oxidative stress.

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The Illumina microarray datasets were accessible from the National Center for Biotechnology Information Gene Expression Omnibus (GEO) data repository (http://www.ncbi.nlm.nih.gov/geo/) using the series accession number GSE68655.

Experiments on high-dimensional microarray datasets were performed, and the best performance was obtained with our approaches compared with well-known feature selection methods for Support Vector Machines.

Both in utero (using embryonic heart tissues) and in vitro (using iPSCs and differentiated cells) microarray datasets were deposited to the NCBI Gene Expression Omnibus (GEO) database.

Microarray datasets were obtained from public databases.

These microarray datasets were obtained from the Gene Expression Omnibus (GEO) database.

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