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By integrating the datasets obtained from these complementary high-throughput OMICS studies and utilizing the strengths of each method, we obtained new insights into the functional role of ALDH1 in skin cells.
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The standard datasets obtained from the benchmark UCI repository [58] as summarized in Table 1.
The MOGA-MFNN is evaluated on 20 datasets obtained from the repository of the University of California, Irvine (UCI).
The datasets obtained from the experiments have also been utilized to perform combined GPS/COMPASS SPP on an epoch-by-epoch basis using unsmoothed single-frequency code observations.
To assess the overall comparability of the pyrosequencing datasets obtained from the GS FLX and Titanium platforms, the average GC content of all reads was determined for each dataset.
We applied the perturbation method to three independent datasets obtained from the GEO database: acute myeloid leukemia (AML), cervical cancer, and breast cancer treated with letrozole.
Two previously published metagenomic datasets obtained from the same lab-scale EBPR reactor operated in Madison, WI, USA, were used in the present study.
Microarray gene expression datasets obtained from the Gene Expression Omnibus.
Three real datasets obtained from the Ion Torrent Community website (http://ioncommunity.lifetechnologies.com/) were used.
Also, we have used real datasets obtained from the European Nucleotide Archive (SRR309230 and SRR837425).
Datasets obtained from the Centre for Health Record Linkage (CHeReL) were analysed using negative binomial regression.
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