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BPDCN microarray data of 6 cryopreserved tissue samples (Sapienza et al., 2014) by Affymetrix microarray platform were normalized with the rank invariant method using Lumi (Bioconductor) (Du et al., 2008).
Trial size, clinical endpoint, and microarray platform were extracted from the Ntzani and Ioannidis review[7].
Within these pathways, gene symbols associated with GO, annotated to rat, and present on our microarray platform were identified (total genes: insulin receptor signaling = 37; inflammatory signaling = 141).
The largest proportion of those genes that were found to be DE by RNA-Seq and at least one microarray platform were found to be DE on all three platforms.
Based on this matrix, the detection sensitivity and specificity for each microarray platform were determined.
Data from two separate studies conducted using the same tissue and the same microarray platform were used.
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The design, construction and application of a Pinus microarray platform are described.
The microarray platform is a powerful tool for conducting large‐scale, high‐throughput gene expression experiments.
Gene expression profiling the 44 K microarray platform was performed in root samples at 1, 5, and 10 days after –P and ++P stress treatments.
Initially, a microarray platform was set up using an unrelated in-house antigen, PUUV recombinant nucleocapsid protein, to optimize the protocol for the detection of antibodies.
Besides the DNA-based array assay, the microarray platform is also being rapidly expanded to include the analysis of other biomolecules such as proteins and carbohydrates.
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