Description Details spotgear functions See Also
An R Package for Fitting Bayesian Two-Dimensional Image Dewarping Models and Estimating Disease Subsets and Signatures
Autoimmune diseases, e.g., scleroderma, are human immune system’s responses to autoantigens in which the body produces specific autoantibodies that target these autoantigens but also cause tissue damage. The autoantibody composition is strikingly different among patients, as indicated by the many different radiolabeled patterns obtained from the mass-spectrometry-based technology - gel electrophoresis autoradiograms (GEA). Human recognition of patterns is not optimal when the patterns are composite/complex, or patterns are scattered across a large number of sam- ples. However, multiple sources of error (including irrelevant intensity differences across gels and warping of the gels) have traditionally precluded automation of pattern discovery using autoradiograms. In this package, we overcome these limitations by novel initial gel data preprocessing (Bayesian two dimensional image dewarping/registration) and then provide methods to
dewarp2d
https://github.com/zhenkewu/spotgear for the source code
and system/software requirements to use spotgear
for your data.
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