Sentence examples for molecular profiling technology from inspiring English sources

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Individualizing cancer therapy for molecular targeted inhibitors requires a new class of molecular profiling technology that can map the functional state of the cancer cell signal pathways containing the drug targets.

The onslaught of data is accelerating as molecular profiling technology evolves.

Proteomics is an established molecular profiling technology that may significantly accelerate human cancer research.

35 Molecular profiling technology, and specifically gene expression for diagnostic or prognostic purposes has been successfully applied in a number of different scenarios including Alzheimer, breast and lung cancer.

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A particular field of molecular studies within biology is called "Omics" and refers to high-throughput molecular profiling technologies, such as genomics, metagenomics, transcriptomics, proteomics, metabolomics and metabonomics.

Indeed, the advent of scalable molecular profiling technologies has brought a number of assays into routine clinical use for optimizing risk prediction and treatment assignment.

Numerous studies have used molecular profiling technologies to examine the brains of MDD patients with or without suicidality.

The ready availability of high-dimensional data sets generated using high-throughput molecular profiling technologies has stimulated research into mathematical, statistical, and probabilistic models of networks.

In particular, the development of new molecular profiling technologies, such as SNP arrays, comparative genomic hybridization, and gene-expression profiling, have allowed the identification of new prognostic factors that may be useful for risk stratification and predicting response to chemotherapy.

The advent of molecular profiling technologies that focus on a global characterization of whole complements allows an exploration of the interconnectivity of pathways during pathophysiologically relevant processes, but has brought about the issue of statistical analysis and data integration.

The incorporation of data from high-throughput molecular profiling technologies, such as gene expression microarrays, can better define a disease by identifying groups of genes that respond to or covary with disease-associated traits.

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