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Functional class scoring is a more powerful method of identifying differentially methylated gene classes than the more common over-representation analysis or annotation of gene lists based on individually analyzed genes.
We therefore believe that dedicated gene-expression profiling offers the most powerful method of identifying gene groups that correlate to nodular growth, thyroid dedifferentiation or malignancy, taking into account the potential contamination by other cell types such as activated lymphocytes.
Longitudinal assessment of cognitive functions seems to be a potentially powerful method of identifying and distinguishing state-related from trait-related cognitive deficits [ 4].
Functional class scoring is a more powerful method of identifying differentially expressed gene classes than the more common over-representation analysis or annotation of gene lists based on individually analysed genes.
Functional class scoring is a more powerful method of identifying differentially expressed gene classes than the more common over-representation analysis or annotation of gene lists based on individually analyzed genes.
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System snapshotting via an on-chip SRAM is a powerful method of accurately identifying the root causes of any design deficiencies.
Comparative genomics is a powerful method for identifying the potential functions of previously uncharacterized genes, allowing their distribution among the kingdoms of life to be characterized, and the changes in sequence and regulation underpinning their conserved or divergent functions to be tracked [ 1].
Recently, transcriptomic analysis based on next generation sequencing (NGS) technology has emerged as an extremely powerful method for identifying novel genes associated with biosynthesis of various secondary metabolites in non-model plant species [ 16, 17].
N NMR chemical shifts are sensitive to the nature of the trans ligand in platinum-am(m)ine derivatives and provide a powerful method for identifying the ligands in the coordination spheres of both platinum II) and platinum(IV) complexes.
A combination of de novo transcriptome assembly and DGE analysis was shown to be a powerful method for identifying genes encoding enzymes potentially involved in the biosynthesis of important secondary metabolites in a non-model plant.
Thus, EST analysis of Hpa-infected Arabidopsis is proving to be a powerful method for identifying pathogen effector candidates expressed during infection.
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