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Gonzalez, JP; Neu, JC; Teitsworth, SW, Experimental metrics for detection of detailed balance violation., Physical Review.
Quality control of the array images was performed on the basis of the parameters reported in the Experimental Metrics Report as indicated by the NimbleGen Software Guide v3.0.
The experimental metrics report (NimbleScan v2.5) was used as recommended by Roche/Nimblegen to generate summary statistics that can be used to identify any potential problems during hybridization.
The experimental metrics report provided by NimbleGen (not shown) gives summary statistics that can be used to help identify potential problems during hybridization.
Changes in the computer-derived parameters were analyzed and compared with experimental metrics and clinical indices to assess the clinical applicability of the technique and its ability to track the disease state.
Quality control of the array data was performed via the BioConductor "oligo package" using probe level models (Gentleman et al. 2004; Carvalho and Irizarry 2010; Draghici 2012) and the experimental metrics report provided by NimbleGen.
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Numerical and experimental damage metrics values were compared, showing a good correlation in terms of tendency.
For single genome sequencing studies, Lander and Waterman [35] have provided useful experimental design metrics based on expected coverage and depth of coverage that continue to be in use today, and in the metagenomics community some attention has been paid to appropriately extending their results.
To adjust systemic biases that are present in microarray experiment, all of samples passed experimental control metrics such as chromosome X shift and mad.1dr with NimbleScan v.2.5.
Apart from the method used to bound the parameter set, proper experimental design metrics are important because they provide a logical link between physical resources and mathematical constructs.
In addition to the method used to characterize uncertainty, biological interpretations of experimental design metrics are important because they provide a logical link between physical resources and mathematical constructs.
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experimental attributes
experimental factors
experimental determinations
experimental merits
experimental countermeasures
experimental calculations
experimental measures
experimental criteria
experimental characteristics
experimental arrangements
experimental indicators
experimental benchmarks
experimental specifications
experimental considerations
academic metrics
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