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Both the meta-analysis and median methods are considered quantitative methods of synthesis in this paper.
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Both on chip and on gene median methods were used to normalize gene expression data.
In addition, as we can project, the median method is the most reliable and robust method for the estimation of kinetic parameters from enzyme kinetic models.
Considering that the median method is free from the assumptions of the least-squares method and the arbitrary assumptions implicit in the linearization methods to estimate the kinetic constants Vmax, Km and KS from the substrate uncompetitive inhibition equation, the median method is highly superior to all published methods, including the non-linear regression by least squares.
11 The median method was used for normalization 12, 13 and each miRNA was expressed by relative quantification (Rq = ).
The combined p and median t methods are both based on probe level tests of significance and seem to rank genes similarly in many cases.
The combined p and median t methods are both based on probe level tests of significance and perform well based on ranking genes in order of evidence of differential expression.
Median-based methods are simple methods that are powerful for removal of impulse noise and preserve edges well.
The Random Sample Consensus (RANSAC) and the Least Median Square methods were used to find the homography matrix, while the Cubic and Linear Interpolation methods were applied to build the mosaic.
The 'average or median background' methods were used to correct for noise signals.
Neighborhood averaging technique using Wiener filter and median filter methods were used to reduce image noise and to preserve edges.
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