Exact(1)
Here, we have focused on CN estimates from different labs and technologies, but the proposed model and method may also be applied for normalizing estimates from different chip types of the same technology, e.g. when combining data from the two chip types part of the Affymetrix 500K chip set.
Similar(59)
The normalizing factor variance estimates are based on the estimated unstructured covariance matrix of all available candidate reference genes, adjusting for all possible correlations.
Finally, the qPCR approach utilized here, using gDNA to normalize expression estimates, could provide more reliable results than the typical alternative of normalizing to expression of a single reference gene in any instance where relative expression estimates are needed.
SIS was developed originally in the statistical community for exploring posterior distributions and estimating normalizing constants in the context of Bayesian analysis.
First, using a simulation of a single synapse, we illustrate that estimating presynaptic excitability and normalizing postsynaptic responses by these estimates makes neural output more stable (Fig 2).
Our goal is estimating the normalizing constant (frac {1}{c_{pi }}) via Monte Carlo simulation, when λ=0 and ν=2.
In general, it is difficult to estimate a normalizing constant using MCMC outputs [2, 58, 59].
In short, this lowess normalization approach is to use the dependence of M = log2 (Cy5/Cy3) on A = log2 (Cy5×Cy3) for estimating its normalizing curve, which is a function of A [39] [40].
Expression levels were estimated by normalizing expression against GAPDH.
Hence, the fitting procedure must also provide an estimate for that normalizing constant.
Each plate contained a panel of housekeeping gene primers for normalizing PCR array data, and estimating the linear dynamic range of the assay.
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