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As we consistently observed a lower expression level for the wild-type MALT1-API2 proteins compared to their RING mutants (Fig 4B) even though more DNA was used for transfection (see Materials and Methods), we expected that also MALT1-API2 targets proteins for degradation.
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Since parameters are jointly estimated through ML methods, we expect that asymptotically approaches the corresponding CRB.
By comparing the results obtained from all methods we expect to draw conclusions as to the usefulness and drawbacks of these methods.
If it could have been properly quantified (cf. Materials and Methods), we expect that it would explain a significant amount of the residual deviance in the regional model of survival.
As with most technologic methods, we expect multiple replicate analyses of the highly fractionated samples would result in a reduction of the number of seemingly unique proteins identified for each disease group [33].
Hence, relative to previously published methods, we expect our method to have higher power to detect (statistically significant) decreases in SUVmax, but also less power to detect increases.
Hopefully, with the development of new imaging methods, we expect the role of prostate biopsy in the diagnosis of PCa to be near to perfect.
Analogous to continual improvements being made in conventional FACS technologies and methods, we expect continued evolution in miniaturized analogs of FACS as well as MACS.
For other GRN inference methods we expect similar results to the results presented by the BC3Net that is based on the C3Net.
As steady progress has been made to improve the accuracy of probabilistic methods, we expect that similar progress will be made on non-probabilistic methods based on the blind deconvolution methods described in this article.
With the advent of next-generation sequencing and other ultra high-throughput methods, we expect to see more and more studies with hundreds of thousands, millions, or even tens of millions of SNPs.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com