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Using a deconvolution approach, we showed [ 35] that although whole-blood expression profiles did not reveal differential expression between patients with AR and those with stable transplant function, cell-type-specific expression profiles estimated by deconvolution of microarray data identified dramatic changes in two cell types that would have otherwise been completely missed.
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(d) The effect of dynamic scattering could be corrected by deconvolution of a transfer function.
The individual emission profiles of these forms were obtained by deconvolution of the probes' fluorescence spectra.
The optimum conditions for MF-ICA algorithm were followed by deconvolution of complex GC MS peak clusters.
True colocalisations were confirmed by deconvolution of z-stacked images, followed by 3D imaging.
This in vivo curve, produced by deconvolution of the plasma profile, may be accomplished using mass balance model-dependent techniques, such as the Wagner Nelson or Loo Riegelman methods, or by model-independent mathematical deconvolution.
This premise is straightforward and has been applied in the past for expression deconvolution of microarrays of heterogeneous cell samples for different applications [ 5- 10], such as detecting cell-type specific differential expression between samples from mixed cell populations [ 7, 10].
These results varied from the FACS data by a mean of 1.3%, illustrating that deconvolution of expression microarray data accurately determines the levels of memory and naïve subsets of T lymphocytes in blood samples.
This exploratory analysis demonstrates the kind of inference that deconvolution of whole blood microarray data allows.
In the validation study, protein-protein interaction assays were performed using pools of proteins probed against yeast protein microarrays comprised of more than 4000 yeast proteins, followed by successful deconvolution of expected individual interaction pairs.
There are several limitations of microarray deconvolution that bear discussion.
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