Sentence examples for microarray profiles include from inspiring English sources

Exact(1)

The p15INK4B induction is durable for at least 1 to 2 cell-cycle periods, suggesting that the 24 h microarray profiles include primary as well as secondary gene responses.

Similar(59)

Considering the high sensitivity of the microarray approach, and various experimental conditions and arrays that were used, it is not surprising that all these microarray profiles, including ours, are not comparable to each other.

Genes identified in the RNA-seq but not the microarray profiling include the iron acquisition proteins ctuA/ cj0178 (transferrin/lactoferrin) and ceuBC (enterobactin).

Furthermore, significant progress in microarray techniques has delivered data on complex expression profiles, including post-translational modifications like glycosylation and phosphorylation.

The gene expression data used to estimate gene expression in ovarian tumors included cDNA microarray profiles of 72 ovarian tumors, of which most were late stage tumors of serous histology (manuscript in preparation).

Exon microarray profiles from two independent series including a total of 160 CRCs were investigated for their relative amounts of exon usage differences.

These data include microarray profiling data and small RNA (sRNA) deep sequencing data derived from miRNA biogenesis/transport mutants, microarray profiling data of mRNAs in a developmental series, and computational predictions of conserved genomic stem-loop structures.

Second, the microarray profiling studies need to include cells from normal and degenerate human discs.

The molecular profile includes gene expression (microarray), genotype (SNP), exon expression, MicroRNA expression (microarray), copy number variation (CNV), DNA methylation, somatic mutation, gene expression (RNA-seq), MicroRNA-seq and protein expression.

We integrate data sets including microarray profiling and sRNA deep sequencing data from miRNA biogenesis/transport mutants, microarray profiling data of mRNAs in a developmental series, and computational predictions of conserved, genomic stem-loop structures.

The seminal study of Maret et al. included microarray profiling of both brain and of liver and is, to date, the only study to evaluate genome wide changes in expression in a peripheral organ as a function of sleep state [ 16].

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