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The recent availability of expression microarrays has facilitated the simultaneous examination of thousands of genes, and this promises to extend further our understanding of the molecular events involved in the development of ovarian cancers.
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Datasets under consideration were chosen based on sample size and the availability of gene expression microarray data derived from RNA extracted from breast cancer tumors with sufficient follow-up data.
This is of particular value for species with limited availability of expression data, given that several organisms already are associated with large amounts of microarray data.
The advent of gene expression microarrays and the availability of complete sequences of the mouse and human genomes enable study of these networks on the system level.
A major limitation of gene expression microarrays for translational cancer research is that they rely on the availability of fresh frozen tissue and show inconsistent performance on formalin fixed paraffin embedded tissue (FFPET) [22] [27].
With the increased availability of miRNA microarray expression data, systematic investigation on the interactions between miRNAs and target genes using expression data could give us information on miRNA regulation.
Background: Interpretation of gene expression microarrays requires a mapping from probe set to gene.
The availability of microarray gene expression databases in the public domain provides a potentially valuable resource for the identification of critical pathways in cancer treatment.
Liu, W. M. et al. Analysis of high density expression microarrays with signed-rank call algorithms.
Among the most striking examples are the availability of complete DNA sequences for hundreds of organisms, including humans, and the availability of high-throughput instrumentation for analyses of gene function such as gene expression microarrays and proteomics technologies.
In Statistical analysis of gene expression microarray data.
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